Senior Data Architect remote jobs - 2,161 jobs

A global tech company based in California seeks a Principal Hardware Engineer for a hybrid position. You will collaborate with cross-functional teams to develop high-end routing platforms from concept to production. Candidates should possess a BS/MS in Electrical Engineering or Computer Engineering and have over 10 years of experience in board design or FPGA design. This role offers a competitive salary, ranging from $153,500 to $310,500 annually, along with comprehensive benefits. #J-18808-Ljbffr

A leading scientific data solutions company in Boston is seeking a skilled leader to guide their Scientific Data Workflow Automation team. The ideal candidate will have over 8 years of Python experience, 3 years in Life Sciences, and proven project management skills. This role includes mentoring engineers, managing diverse projects, and delivering high-quality client projects in a fully remote environment. Competitive benefits include unlimited PTO and 100% employer-paid benefits. #J-18808-Ljbffr

A leading technology company seeks a Senior Principal Solutions Architect to provide technical and consultative guidance on complex engagements. The role requires 12 to 15 years of related experience and a current US Govt security clearance at the Top Secret/SCI level. Ideal candidates will possess strong project management skills and knowledge of US Govt Telecommunications. The compensation range for this position is $217,600 - $281,600, including base salary and commissions. #J-18808-Ljbffr

A leading design software company in San Francisco seeks a Senior Staff Machine Learning Engineer/Data Scientist to drive data-informed decisions and develop ML models for eCommerce platforms. Candidates should have extensive experience in machine learning, data science, and project management. This role can be remote within the U.S., offering a competitive salary range and comprehensive benefits. #J-18808-Ljbffr

Senior Full Stack/Data Engineering (C#/.Net, Angular, Azure Databricks, AI/ML) Pay rate: $50-55 per hour Employment status: W2 (We can only consider candidates that do not require sponsorship via W2 status with us - C2C H1B candidates cannot be considered right now Location: DFW area, must be onsite Tues, Wed, Thursday Contract: 6+ months (chance to convert but not guaranteed) Looking for a Senior Full Stack & Data Engineering Developer - 3-7 years experience range is ideal. This role spans scalable data pipeline development, ML workflow enablement, and full‑stack (.NET + Angular) engineering in Azure. Core Responsibilities Build and optimize data pipelines, ingestion, and transformation workflows (ADF, Databricks). Enable ML workflows: data prep, feature engineering, deployment support. Develop full‑stack applications (Angular front end + .NET APIs + SQL backend). Collaborate with data scientists, architects, and product teams on end‑to‑end solutions. Ensure data quality, performance, and security across platforms. Troubleshoot production issues and support continuous improvement. Contribute to architecture and technical decision‑making. Skill Mix Breakdown Angular / Front‑End: 25% .NET / API / Backend: 25% Azure + Data Engineering (ADF, Databricks, Azure SQL): 35% ML / AI Exposure: 15% Required Skills 3-5+ years with .NET, C#, APIs, and backend development. Strong experience with Entity Framework, SQL/T‑SQL, and Databricks. Proficient with Angular and Angular Material UI components. Experience in Agile, CI, TDD environments. Solid problem‑solving skills in distributed cloud systems. Azure cloud experience (highly preferred). Preferred Skills Experience building or optimizing machine learning models or AI workflows. Familiarity with NLP/statistical approaches for solutioning. Exposure to tools such as Python, R, SAS, SQL, MATLAB, Java. TypeScript experience.

A leading embedded AI startup is seeking a Senior Embedded Systems Engineer to develop firmware for innovative AI-enabled devices. The ideal candidate has strong C/C++ skills, experience with design for power constrained systems, and the ability to independently drive projects. This role offers flexible hybrid or remote work options and is a unique opportunity to contribute to cutting-edge technology in a dynamic team environment. #J-18808-Ljbffr

A leading technology firm is seeking a Senior Principal Solutions Architect in Virginia to provide technical and consultative guidance for complex solutions. With a focus on supporting US governmental agencies, the ideal candidate will have 12-15 years of experience and a current US Govt security clearance at the Top Secret/SCI level. This role includes leading code reviews, managing complex projects, and leveraging industry knowledge to enhance operational efficiency. Competitive compensation is offered including a salary range of $217,600 - $281,600. #J-18808-Ljbffr

Job Title: Sr. Workday Solution Architect Duration: 18 months contract with possible extension Payrate: $160.00/hour on W2 *****(Need only W2 and local candidates in Atlanta, GA ||| No C2C)***** Local candidates strongly preferred, out-of-state candidates are welcome to apply (100% remote) We are seeking an accomplished Senior Workday Solution Architect with specialized expertise in Workday Finance to lead the design, implementation, and optimization of Workday Financials solutions. This role requires a deep understanding of Workday Finance modules, hands-on technical proficiency, and the ability to align ERP solutions with organizational goals in industries such as higher education, public sector, healthcare, and not-for-profit sectors. As a senior leader, you will collaborate with cross-functional teams and stakeholders to architect and deliver scalable, compliant, and innovative solutions that drive organizational success. Key Responsibilities: Workday Financials Expertise: • Participate in the facilitation of requirements confirmation and existing solution design. Conduct gap analysis and provide solutions options/alternatives to support existing functionality and address gaps. • Architect scalable and efficient solutions for Workday Financials, ensuring seamless integration across modules and alignment with business requirements. • Design, develop and implement solutions for Workday Financials modules, including Core Financials, Banking & Settlements, Accounting Center, Revenue Management, Contracts-to-Cash, Record-to-Report, Procure-to-Pay, Grants and Projects. • Optimize Grants Management processes, including Pre-/Post-Award, Effort Certification, Subawards, Salary Cap, and Award Budget Plans. • Collaborate with implementation vendor to optimize integrations using tools like Workday Studio, EIB, BIRT, REST/SOAP APIs, and Prism Analytics. • Identify, design, and implement Extend solutions as needed to address functionality gaps, provide efficiency, and address business needs. • Leverage knowledge of market tools and resources as options to address business requirements. • Ensure compliance with US GAAP, federal grant guidelines, and other industry-specific financial regulations. • Design and implement security frameworks, data governance strategies, and FDM (Foundation Data Model) structures to support financial reporting and compliance. • Lead large-scale ERP migrations from legacy systems (e.g., PeopleSoft) to Workday, ensuring smooth transitions and minimal disruption. • Develop and implement automated workflows for key financial processes, such as Payroll Reconciliation, Revenue Recognition, Expense Processing, and Subaward Tracking. • Guide the build of advanced composite and matrix reports, dashboards, and custom analytics using Prism Analytics and Workday Extend to provide actionable insights. • Enhance financial visibility and decision-making capabilities by guiding the design of robust reporting frameworks tailored to organizational needs. • Workday Certifications: Active certification in Workday Financials, including Core Financials, Banking & Settlements, Revenue Management, Grants Management, Accounting Center, and Contracts-to-Cash - valid through 2025 R1. • ERP Expertise: Minimum of 10+ years in ERP implementations, with 7+ years dedicated to Workday Financials solutions. • Technical Proficiency: Advanced knowledge of Workday integration tools (Studio, EIB, BIRT, REST/SOAP APIs) and cross-functional Workday modules (Adaptive Planning, Prism Analytics, Extend). • Compliance Knowledge: Proven experience ensuring compliance with US GAAP and federal grants regulations in Financials implementations. ________________________________________ Preferred Skills: • 5-7 years Experience in multi-tenant Workday Financials deployments across public sector • 5-7 years expertise in designing and implementing Accounting Center for cash-basis reporting and advanced financial allocations. • 5-7 years strong understanding of ERP migrations from legacy systems, including PeopleSoft to Workday. ________________________________________ Industry Domains: • Higher Education • Public Sector • Not-for-Profit

Immediate Need with our Direct Client Role : Senior Workday Solution Architect Long Term Project Senior Workday Solution Architect with specialized expertise in Workday Finance to lead the design, implementation, and optimization of Workday Financials solutions. This role requires a deep understanding of Workday Finance modules, hands-on technical proficiency, and the ability to align ERP solutions with organizational goals in industries such as higher education, public sector, healthcare, and not-for-profit sectors. Preferred Skills: • 5-7 years Experience in multi-tenant Workday Financials deployments across public sector • 5-7 years expertise in designing and implementing Accounting Centre for cash-basis reporting and advanced financial allocations. • 5-7 years strong understanding of ERP migrations from legacy systems, including PeopleSoft to Workday. Interested share resume asap to ***************************

Job Description: Scope of Work/Job Characteristics The Data Architects, under the working job title of Extract, Transform, Load (ETL) Architects, will serve as the principal line of communication for the project team. The ETL Architects will drive the development of data integration pipelines, enabling efficient, reliable access to critical data within the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Azure. They will work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview. The ETL Architects will be at the forefront of transforming complex data into actionable insights. The ETL Architects will be responsible for ensuring data integrity, security, and performance, all while meeting mission-critical needs. The specific duties and responsibilities of this position are as follows: ETL Pipeline Design and Development: · Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources; · Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and · Utilize ADF to automate and streamline data workflows, ensuring smooth transitions from source to target. Data Integration and Transformation: · Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and · Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination. Cloud Platform Expertise: · Leverage the full power of the Azure ecosystem-ADF, Databricks, Synapse, and Purview-to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and · Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data-driven insights that support the Department's mission. Performance Optimization: · Continuously optimize ETL jobs to minimize latency and maximize throughput; and · Ensure the architecture supports fast, reliable data access for end-users and systems, meeting stringent performance metrics. Security and Compliance: · Embed security and compliance best practices in every step of the ETL process;. · Protect sensitive data by adhering to industry standards and ensuring compliance with the Department's data governance policies; and · Use Azure Purview to enforce data governance, track data lineage, and ensure that data handling meets the highest standards of integrity. Collaboration and Stakeholder Engagement: · Partner with cross-functional teams (e.g., data engineers, analysts, business stakeholders, and security experts) to design and implement ETL solutions that meet the Department's evolving needs; and · Act as a technical leader and mentor, helping guide junior team members and providing expert guidance on data processing and transformation best practices. Documentation and Best Practices: · Develop and maintain clear, detailed documentation for ETL processes, ensuring the team can consistently deliver high-quality, reliable solutions; and · Establish and enforce best practices for data handling, ETL development, and security, driving a culture of excellence and accountability. Requirements/Qualifications The Department is seeking two (2) full-time, on-site ETL Architects throughout the PO term of this RFQ. The positions required qualifications and preferred qualifications are described in Sections 4.1 and 4.2 and must be verifiable in the Candidates' resumes. NOTE: Any successful Candidate with access to the Department's network is required to complete the Department's Security Awareness Training within 30 calendar days of hire. Required Qualifications A bachelor's degree from an accredited college or university in Computer Science, Information Systems, or a related field is required. Alternatively, equivalent work experience, including experience in Service-Oriented Architecture (SOA) and Microsoft Azure Cloud Solutions, can be substituted for the educational requirement on a year-for-year basis, when applicable. The Department requires the following experience, skills, and knowledge for this position: · Seven (7) or more years of experience in ETL development and data engineering; · Three (3) or more years of hands-on experience working with ADF, Azure Cloud, Azure Databricks, Azure Synapse Analytics, and Azure Purview; · Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high-availability environments; · Extensive expertise in Spark, Python, and/or Scala for large-scale data transformations; · Strong Structured Query Language (SQL) proficiency and experience working with complex data structures; · In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and · Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards. NOTE: In addition to the above list, the selected Candidates must successfully complete a Level II Background Check. Preferred Qualifications The Department prefers the Candidates to have the following experience, skills, and/or knowledge for this position: · Possession of a Microsoft Office Certification as an Azure Data Engineer Associate, Azure Solutions Architect Expert, and Azure Fundamentals; and · Azure Databricks Certification as a Data Engineer Associate. This is a remote position. Compensation: $72.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

Myers-Holum is expanding the NSAW Practice and is actively seeking experienced Enterprise Architects with strong end to end data warehousing and business intelligence experience to play a pivotal role leading client engagements on this team. Enterprise Architect, Data Integration and BI Responsibilities: Lead the strategic design, architecture, and implementation of enterprise data solutions, ensuring alignment with Myers-Holum's clients' long-term business goals. Develop and promote the architectural vision for data integration, Business Intelligence (BI), and analytics solutions across a broad range of business functions and applications. Design and build scalable, high-performance data warehouses and BI solutions for clients, utilizing the Oracle NetSuite Analytics Warehouse (NSAW) platform, NetSuite ERP, Suite Commerce Advanced (SCA) and other cutting-edge cloud-based and on-premise technologies. Lead cross-functional teams in developing data governance frameworks, data models, and integration architectures that support seamless data flow across disparate systems. Translate high-level business requirements into enterprise-wide technical specifications, ensuring that data architecture decisions align with broader organizational IT strategies and compliance standards. Architect end-to-end data pipelines, data integration frameworks, and data governance models to enable seamless flow of structured and unstructured data from multiple sources (cloud and on-premise). Provide thought leadership in evaluating and recommending emerging technologies, tools, and best practices for data management, integration, and business intelligence. Oversee the deployment and adoption of key enterprise data initiatives, ensuring scalability, security, and performance. Engage with C-suite executives and senior stakeholders to communicate architectural solutions, ensuring alignment with enterprise goals and helping drive digital transformation initiatives. Lead and mentor technical teams, fostering a culture of continuous learning and innovation in the areas of data management, BI, and integration. Conduct architectural reviews and provide guidance on best practices for data security, compliance, and performance optimization. Lead technical workshops, training sessions, and collaborative sessions with clients to ensure successful adoption of data solutions and foster strong relationships. Contribute to the development of internal frameworks, methodologies, and standards for data architecture, integration, and BI. Stay up to date with industry trends and emerging technologies to continuously evolve the enterprise data architecture. Qualifications and Skills: 10+ years of relevant professional experience in data management, business intelligence, and integration architecture. 6+ years of experience with designing and implementing enterprise data architectures, including data warehousing, integration, and analytics. Extensive experience in leading cross-functional teams to deliver large-scale data solutions across multiple departments. Proven expertise in cloud-based data architectures (AWS, Oracle Cloud, Azure) and hybrid solutions that integrate on-premise and cloud systems. Proficiency in at least one data integration or pipelining tool (e.g., Fivetran, Talend, Glue, Nexla, Informatica) and deep understanding of the full data integration lifecycle. Solid experience with at least one relational database (Oracle, SQLServer, MySQL, PostgreSQL, Snowflake) and its integration into enterprise architectures. Expertise in BI platforms such as Oracle OBIEE, Oracle Analytics Cloud (OAC), PowerBI, Tableau, or similar tools, with experience architecting enterprise-level BI solutions. Experience with FDI/FAW, ADW Single Sign-On (SSO) integration, including SSO with Oracle Cloud Infrastructure (OCI) and Microsoft Entra (formerly Azure Active Directory). Strong understanding of ERP systems, business processes, and how they integrate into enterprise-wide data solutions, preferably NetSuite ERP. Hands-on experience designing REST APIs, GraphQL APIs, and other integration mechanisms to interface with cloud and on-premise data sources. Experience with implementing data governance, data security, and compliance frameworks in large-scale enterprise environments. Strong business analysis and stakeholder management skills, with the ability to translate business needs into technical solutions. Exceptional written and verbal communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders. Experience in leading enterprise-wide digital transformation initiatives and managing the full life cycle of data-driven projects. Why Become an MHIer Your Life at Myers-Holum & What you Can Expect: Do you desire collaboration? Are you ready to shape your future and positively influence change for your customers? If so, then it's time to join the MHI Team where you can own your individuality and collaborate with other curious and thought-provoking minds. Discover what you are capable of by paving your path through MHI using your expertise and discovering your true potential. Every MHIer is committed to our mission and operating principles; We remain curious as we lead with a genuine interest in people, ideas, and the unknown. We remain humble in knowing we can change how we currently do things and it is our ability to learn and grow that makes us a success. We remain resilient in understanding that success is not linear and that through reflection and a steadfast passion for betterment, we can continue our mindful and purposeful growth. A little about “Us” We've been around for 40 years. You'll get stability & growth with us. Myers-Holum is a technology and management consulting firm that was founded in 1981 and continues to grow year after year. Today we have over 400 remote employees sitting across ten countries; United States, Canada, Mexico, Chile, Uruguay, Philippines, Vietnam, India & Pakistan. The Partnerships we've built. Our cutting-edge technology partners include Oracle NetSuite, Stripe, Google Cloud Platform, Zone Billing, Celigo, and Boomi all working with us to provide the best customer experience throughout each implementation. Our Structure. We're a boutique firm with a strong internal framework. Our powerful model includes robust Sales, Solution Architecture, Resourcing & Enablement, Consulting, Project Management, Managed Services & Development, and Integration departments with subject matter experts sitting in each function. Our Employees. We're a company that recognizes we're only as strong as our people and each person who joins our firm contributes to our well-being. We strive to ensure all employees have a career path within Myers-Holum for both upward and lateral opportunities while maintaining a healthy work-life balance. We're growing and making waves along the way, join us on this journey! Our Benefits MHI offers a competitive base salary, incentive pay, and comprehensive benefits including medical, dental, vision, retirement plan, and paid time off. Full package offerings are based on the Country in which you reside. Company access to training and full coverage for certification/exam fees in a variety of products and professional skill sets Career growth and upward mobility to meet your long-term career goals with mid-year and annual reviews scheduled on a recurring basis MHI invests in our employee's health by offering a company medical insurance policy that covers 100% of premiums for the individual employee and manager's dependents with a ZERO deductible in the United States Remote working opportunity when not traveling for client requirements with full access to the team through technology Our Process: Our interview process is efficient and provides you with an opportunity to showcase your strengths, current abilities and share your future career aspirations while learning whether Myers-Holum would be a good fit for you. You will be paired with a member of our recruiting team who will handle all of the logistics as well as provide thoughtful feedback after each touchpoint to ensure you are kept within the loop from start to finish. Our recruiting timeline can be flexible to align with your circumstances; our typical timeline can take 2-4 weeks to complete however this can be adjusted or expedited depending on your needs. You can expect the following touchpoints when interviewing with MHI 30-minute call with our recruiting team 60-minute video call with a MHI Team Lead, Delivery Manager, or Practice Manager 90-minute interactive “Case Study” session with a Delivery Manager or Practice Manager Executive leadership review and decision making We are dedicated to fostering a workplace environment that upholds and promotes equal employment opportunity, free from discrimination on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Our compensation ranges and packages are based on a wide array of factors unique to each candidate. It is not a common practice or guaranteed for an individual to be hired at or near the top of the range and compensation decisions are determined using a wide array of factors unique to each candidate, including but not limited to; skill set, years & depth of experience, certifications, and specific location due to cost of living & labor considerations; All of which will be considered during the interview and offer process. Salary ranges and incentive plans will differ in other countries in which MHI pays local currency.

The Enterprise AI & Data Architect is a senior, hands-on architecture leader responsible for translating Ralliant's Data & AI Strategy into executable architectures, platforms, and operating standards across all operating companies. This role sits at the intersection of business model design, platform engineering, and data governance; ensuring that agentic AI, data products, and digital business models can be deployed at scale while optimizing spend and reducing time-to-value. You will define and govern the enterprise AI/data architecture that enables: Agentic AI workflows as a “system of action” on top of existing systems of record. An Enterprise Data & Knowledge Platform and domain-focused AI platforms that connect data and knowledge across operating companies and use cases. New business models (e.g., analytics/insights-as-a-service) and digital customer experiences aligned to OpCo strategic plans. Key Responsibilities Enterprise AI & Data Strategy Execution Translate the enterprise Data & AI Strategy into an integrated AI/data architecture blueprint and multi-year roadmap, aligned with strategic priorities, foundational readiness, and priority use cases Define architecture guardrails based upon guiding principles Partner with the AI/Data Strategy function and AI/Data Center of Excellence to ensure solution and domain architectures deliver expected KPIs Business Model & Value Architecture Work with Operating Company leaders to design AI/data-enabled business models (analytics-as-a-service, digital service ecosystems, intelligent customer platforms, embedded AI in products) and translate them into concrete platform, data, and integration architectures. Use Business Model Canvas-style frameworks to ensure that data, AI, and platform components are explicitly linked to revenue models, pricing, cost structure, and value delivery. Define patterns for data rights, data contracts, and productized data/AI services that support recurring revenue (ARR) and new business models Platform Architecture & Implementations Own the reference architecture for the Enterprise Data & Knowledge Platform and domain-focused AI platforms Integrate with Operating Company data layers and systems of record Support agentic workflows that span end-to-end business processes Provide on-platform analytics and automation for common processes Define environment and hosting patterns to support GCC High / FedRAMP, hybrid and air-gapped deployments, and regulated workloads. Data Management, Engineering Principles & Standards Define and maintain enterprise data architecture standards across data modeling, data products, metadata, lineage, MDM/reference data, event streaming, and integration patterns. Partner with Data Engineering, BI/Reporting, and Platform Operations to codify reference implementations and golden patterns for Operating Company data layers and pipelines. Operationalize data lifecycle and data governance policies in the architecture Promote “zero-barrier” data access (with appropriate controls) to improve data liquidity and reduce time to prepare data for AI Security, Privacy, and Compliance by Design Embed secure-by-design principles into all AI/data architectures, including identity and access management, data segmentation, tenant isolation, and role-based access. Align architectures with CMMC, cybersecurity, and data protection requirements identified in OpCo strategic plans and enterprise risk frameworks. Collaborate with Security Architecture, GRC, and Legal/Privacy to ensure architectures support policy enforcement and defensible compliance. Spend Optimization & FinOps Work with Infrastructure, Cloud Engineering, and Finance to define FinOps-aligned architectural standards Architect for “fewer, bigger, better” strategic platforms and partners to reduce duplicated capabilities and IT run costs while increasing reuse Provide TCO/ROI viewpoints and architecture options that reduce the cost to deliver AI solutions Governance, Operating Model & Ways of Working Play a leading role in architecture governance forums to evaluate and approve AI/data solutions and platform investments. Define decision-rights, standards, and patterns that enable dual-speed delivery Partner with Innovation PODs, Citizen Development programs, and Operating Company teams to ensure architectures support both centralized and decentralized innovation safely Stakeholder Leadership & Engagement Serve as a trusted advisor to Operating Company Product, Commercial, Operations, and RBS leaders on how AI/data platforms and architectures unlock their strategic priorities. Communicate complex architectural concepts in business language, linking design decisions to KPIs such as revenue growth, NDR, CSAT, margin, productivity, and time-to-market. Champion Ralliant's vision where every employee can build or orchestrate agentic workflows in their area, with architecture and platforms that make this safe and scalable. #LI-RG1

Orchestrated by adept technical architects with over fifty years of applied expertise, KYNITE is an advanced technology company specializing in the disciplines of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services We are BigData Experts We are Cloud Experts We are Enterprise Architects We are Artificial Intelligence Innovators We are Technological Evangelists We are Doers We are Kynite Job Description Develop database solutions to store and retrieve company information Install and configure information systems to ensure functionality Analyze structural requirements for new software and applications Migrate data from legacy systems to new solutions Design conceptual and logical data models and flowcharts Improve system performance by conducting tests, troubleshooting and integrating new elements Optimize new and current database systems Define security and backup procedures Coordinate with the Data Science department to identify future needs and requirements Provide operational support for Management Information Systems (MIS) Qualifications 10+ years of Data Platform and Data Application hands-on experience Additional Information All your This job is only for individuals residing in US US Citizens, Green Card holders, EAD's can apply W2 information will be kept confidential according to EEO guidelines.

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠. Arch Capital Group have a fantastic opportunity for an experienced Enterprise Data Architect to lead the data architecture function for Data Management thereby enabling Arch with its vision of becoming a data driven and AI enabled organization. The enterprise data architect involves ensuring architecture standards, best practices, guidance, and data management governance for end-to-end data delivery across the Group. This is a hybrid, in-office work set-up, with openness for a fully remote employee within close proximity to one of our North East offices (Raleigh, Jersey City, OR Hartford.) Duties & Responsibilities: * Work with the Chief Data Architect to drive the enterprise data management function and roadmap including current, target and transition states in line with the overall Arch Data & AI strategy. * Maintain the market solution architecture designs and playbooks for adoption of modern data warehousing tech like Snowflake and strategic data platform & analytics capabilities. * Ensure successful delivery of data management initiatives working alongside the solution architects and data architects from the programme. * Own the target state enterprise data management platforms and architecture and transition states from current state, per Segment. Bring on new Data Management capabilities if required within the organisation from inception to adoption. * Lead the Data Management Centre of Excellence covering all aspects of Data Management and tooling * Manage the Vendor relationships across all tooling covering the data management capabilities * Steer and quantifying the value of data platforms transformation. Shape overall data management roadmaps, co-created with domain SMEs from the business, to give an overall and coherent view across data in Arch. Skills & Experience: * Data architecture expertise with rich experience in delivering transformative programs with a large data management footprint * Experience in architecting and driving Data Governance, Master Data Management, Data Quality, Metadata Management, Data Access Management, Data privacy across a global enterprise * Experience in modern data warehousing and having a solid technical understanding of modern cloud systems is essential * Experience in working with Snowflake/Databricks as an enterprise capability & deep knowledge of the ecosystems. * Experience in key data architecture functions across ingestion, transformation, visualization, metadata management leveraging tools like Snowflake ideally, Azure services, dbt Cloud, Collibra. * Experience in delivering data products aligned to business requirements and aligned to the data mesh principles in the modern data warehousing paradigm. * Practically leading successful technical adoption of modern data management capabilities into an enterprise organization. * Strong senior stakeholder communicator, with experience in executive communication. #LI-ZP1 #LI-Remote For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible. For North Carolina: $122 - $149,000/year For Morristown, NJ: $142 - $173,000/year For Jersey City, NJ; White Plains, NY: $157 - $180,000/year * Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future. * Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits. Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team. 10200 Arch Capital Services LLC

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Overview: We are seeking a BI Architect with strong experience in Qlik Sense and a modern data engineering mindset. The ideal candidate will have at least 5 years of hands-on experience in designing, implementing, and optimizing BI solutions using Qlik Sense. While Qlik Sense will remain the primary BI platform, we are looking for someone who also brings experience with Snowflake, DataOps practices, and dbt to help mature our analytics ecosystem. This role focuses on BI architecture, data modeling, platform optimization, and guiding the evolution of enterprise reporting and analytics. Key Responsibilities: BI Architecture and Solution Design: Design, implement, and maintain scalable and high-performing BI architectures using Qlik Sense and NPrinting to support organizational reporting and analytics Develop data models, dashboards, and reports in Qlik Sense, ensuring they meet business requirements and performance standards. Design BI solutions that integrate with Snowflake, dbt, and cloud-based data pipelines. Platform Optimization and Best Practices: Establish and enforce best practices for Qlik Sense and NPrinting, including data modeling, dashboard design, security, and performance tuning. Optimize data structures, load scripts, and queries to enhance the efficiency and speed of Qlik Sense applications. Proactively identify system/app performance issues and resolve by working with the BI developers. Maintain security and access controls within Qlik Sense and NPrinting to ensure data integrity and compliance with company Partner with Data Engineering and DataOps teams to optimize Snowflake schemas, dbt models, and ELT workflows supporting BI consumption. Required Qualifications: 5 + years of hands-on experience with Qlik Sense and NPrinting. Experience working in Data Warehouse environments, like Snowflake and cloud-based technologies like MS Azure, AWS. Bachelor's degree in computer science, Information Technology, Data Science, or a related field. Excellent communication and interpersonal skills with the ability to work effectively with cross-functional teams. Strong proficiency in data modeling, scripting, and dashboard design within Qlik Sense. Advanced knowledge of NPrinting for report generation and Proven ability to design and implement scalable BI solutions and data models that meet business objectives. Should have used AWS data sources. Advanced ability to utilize SQL to link disparate data sources, flat files with core data. Deep understanding of the overall architecture of BI platforms such as Qlik, on both single and multi-node platforms. Qlik Sense and NPrinting certifications are preferred Snowflake and dbt certifications or training desired PBM-specific knowledge and experience with transforming various healthcare data is a plus but not required. Experience with Microsoft SQL Server and/or Snowflake is Experience working in Data Warehouse environments, like Snowflake and cloud-based technologies like MS Azure, AWS. Salary Range: 120,000 - 137,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

It's an exciting time to join Fisher Investments! We're continuing to invest in the future of our firm's technology and information security. Our business is growing internationally, which emphasizes the need to build an unparalleled global team that inspires future scale through strategic solutions, innovation, mentoring, and tight knit teamwork. The Opportunity: The Enterprise Architect will develop data architecture across the organization, providing expertise, and resolving conflicts in data architecture projects by analyzing business needs and managing the quality of deliverables created. You will drive alignment on data architecture principles, foster cross-functional collaboration, and ensure that data capabilities are scalable and aligned with enterprise AI goals. You will report to the Vice President, Enterprise Architecture and Standards. The Day-to-Day: Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions Partner with product, data, and engineering teams to define domain-driven data contracts that support AI, analytics, and operational needs Collaborate with governance, AI/ML, and metadata teams to support computational governance and automated metadata enrichment Evaluate AI-generated code for accuracy, performance, and clarity Build data architecture and applications that ensure reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance Enable scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses) Provide strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF/OWL) and drive adoption of best practices Strong collaboration skills, working cross-functionally with data product owners, engineers, data scientists, and governance teams Provide feedback that directly shapes the next generation of AI models Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production Extensive experience building big data pipelines Your Qualifications: 10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture 2+ years of experience with Data-focused A1 tools Experience optimizing data, CI/CD process and tools, test frameworks & practices Experience with ETL (Azure Data Factory/SSIS) and knowledge of a variety of data platforms and ingestion patterns including events and streams Must be proficient in SQL and experience with R, Python, or JavaScript Proficient in tools such as Purview, Unity catalog, Erwin or other semantic/metadata platforms Deep experience with Microsoft Azure and their AI and data services Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Experience working with investments industry Data modeling experience for investments Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** As an Enterprise Architect specializing in Machine Learning and Advanced Analytics, you will shape how Empower designs, delivers, and operates capabilities that help the business get the most from its data. This includes machine learning, analytics, and reporting that turns data into insights and decisions. You will define target architectures and roadmaps that make these capabilities easier to adopt and run reliably at scale, while contributing to the broader data strategy pillars including data architecture and infrastructure, data management, data security, data delivery, advanced analytics, and business alignment. You will partner across data engineering, data science, application engineering, security, risk, and business teams to establish clear direction, practical standards, reusable patterns, and measurable outcomes that improve speed to value, stability, compliance readiness, and cost control. What will you bring: Define and maintain enterprise target architectures and roadmaps for advanced analytics capabilities Establish reference architectures, standards, and reusable patterns for data, analytics, and machine learning solutions that teams can adopt consistently Work closely with data scientists and model developers to translate modeling approaches into production-ready designs, ensuring smooth paths from experimentation to operational use Partner with data science and engineering teams to ensure machine learning solutions are designed for production use, including scalability, reliability, monitoring, and maintainability Provide architectural direction for analytics and reporting capabilities, including how curated data sets, semantic layers, and consumption patterns support consistent business metrics and insights Contribute to the broader data strategy pillars by shaping approaches to data architecture and infrastructure, data management, data security, data delivery, advanced analytics, and business alignment Provide leadership for data platforms and pipelines, including guidance on integration patterns, reusable components, automation, and operational resilience Collaborate with security, privacy, and risk stakeholders to ensure data and analytics solutions incorporate appropriate controls, traceability, and compliance readiness Lead architecture reviews and decision forums, ensuring decisions are documented and aligned to enterprise direction Define success measures for data and analytics adoption, including delivery efficiency, reliability, reusability, quality, and value realized Drive simplification and modernization by reducing duplicated tooling and inconsistent practices across data, analytics, and machine learning solutions Support pilots and early adopters by converting lessons learned into scalable enterprise guidance and repeatable patterns Influence stakeholders to improve outcomes such as faster time to insight, faster delivery of trusted analytics, more reliable production ML usage, and improved cost transparency for data and analytics workloads What you will bring: 15 years of deep hands-on experience delivering machine learning and advanced analytics solutions, with a strong understanding of how models are developed, evaluated, deployed, and supported in real business environments 7+ years of experience creating solution architectures and strategies across multiple architecture domains (business, application, data, integration, infrastructure and security) Demonstrated ability to set technical direction and drive adoption across teams through practical guidance, strong engineering judgment, and clear communication Proven experience working directly with data scientists and model developers, translating modeling needs into scalable, supportable, and secure implementation approaches Hands-on experience with at least one modern analytics or machine learning platform such as Snowflake, Databricks, SAS, Amazon SageMaker, Dataiku, or equivalent Cloud experience designing or deploying data and analytics solutions on a major cloud platform, with understanding of scalability, reliability, security, and cost considerations Strong understanding of modern data concepts including pipelines, data modeling, data quality practices, metadata, and consumption patterns for analytics and ML Ability to partner effectively across engineering, data science, security, risk, and business stakeholders and drive outcomes through influence and collaboration Strong written and verbal communication skills with demonstrated ability to create clear technical direction and documentation that teams will use Bachelor's and/or master's degree in computer science or related field (information systems, mathematics, software engineering, etc.) What will set you apart: Experience in financial services, wealth management, retirement services, or another regulated industry Experience setting enterprise-wide patterns or standards for ML, analytics, or data platforms Experience with more than one modern analytics or machine learning platform Familiarity with controls relevant to data, analytics, and ML including privacy, access management, auditability, and operational accountability Relevant cloud certifications or formal training in cloud architecture, data engineering, analytics, or machine learning This is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this . You may be required perform other duties that are not included on this . The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $151,800.00 - $220,050.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 01-15-2026 Want the latest money news and views shaping how we live, work and play? 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NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor! What you'll be doing: Collaborating closely with customers to improve their workload performance and reduce infrastructure costs. Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience. 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs. Experience with profiling and optimizing model training/inference performance on GPUs. Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels. Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations. A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing. Self-starter with a passion for growth, continuous learning, and sharing insights with the team. Ways to stand out from the crowd: Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cu DNN/NCCL). Experience working with enterprise developers and strong customer-facing skills. Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments. Experience with large-scale production data pipelines and AI model training/deployment. Creative problem-solving skills for debugging and resolving complex issues. We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team! Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We're looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you're a high performer who's an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Senior Technical Architect About the Role The Senior Architect role at Alteryx is a strategic and highly technical customer facing resource who combines deep expertise in data analytics, platform architecture, and prescriptive enablement. This role partners directly with customers providing end-to-end engagement to drive analytic adoption, solution design, technical success, and sustained realized value from the Alteryx Platform. As a Senior Architect, you will serve as a technical thought leader and trusted advisor to our customers, guiding them through implementation, optimization, innovation, and scale. You will partner closely with Sales, Support, Product, Consulting, and Customer Success to align Alteryx solutions with our clients' evolving business needs and technology landscapes. You will also collaborate across the Alteryx organization to identify and engage the right internal resources-to ensure customers receive tailored, effective guidance aligned to their unique technical and business challenges. --- Key Responsibilities include, but are not limited to: 1. Serve as the primary technical and strategic point of contact for assigned customers throughout the duration of their subscription term, 2. Advise on best practices, data strategies, analytic maturity, and integrations which meet the needs of the customer business processes and objectives through Alteryx solutions 3. Guide clients in establishing Centers of Excellence, scalable governance frameworks, and analytic modernization initiatives 4. Partner across internal teams to align the right expertise needed to support and mange technical outcomes and strategic initiatives . 5. Architect and guide complex deployments of Alteryx platforms (Designer, Server, AACP, Intelligence Suite, etc.). 6. Lead environment planning and upgrades, minimizing downtime and risk. 7. Monitor and analyze customer usage patterns; identify opportunities for optimization and training. 8. Deliver enablement plans, documentation, and proactive recommendations to reduce friction and drive self-sufficiency. 9. Maintain fluency in evolving cloud and analytics trends to inform customer strategies. 10. Share knowledge internally and externally, promoting technical excellence across Alteryx and our customer ecosystem. --- Qualifications · Bachelor's degree in Computer Science, Engineering, Data Science, or related field. · 8+ years of experience in a customer-facing technical role (Solutions Architect, TAM, Consultant, Presales Engineer, etc.). · Demonstrated success managing enterprise client relationships and leading analytics/BI deployments. · Proven expertise with Alteryx Designer and Server; Alteryx Core Certification required. · Strong knowledge of data platforms and database technologies (SQL, RDBMS, Snowflake, Databricks, etc.). · Familiarity with cloud ecosystems (AWS, Azure, GCP); cloud certifications a plus. · Excellent communication and presentation skills across technical and business audiences, including executive stakeholders. · Experience with visualization tools (PowerBI, Tableau, Qlik) and scripting languages (SQL, shell, Python) preferred. · Ability to travel up to 20%. --- Preferred Certifications & Experience · Alteryx product certifications. · Experience with the Alteryx Platform (including Cloud) · BI/Dashboard development and data engineering experience. · Cloud and data architecture certifications (e.g., AWS Solutions Architect, Azure Solutions Architect). · Experience with customer lifecycle tools (Salesforce, Gainsight, etc.). Compensation: Alteryx is committed to fair, equitable, and transparent compensation. Final compensation will be determined by various factors such as your relevant work experience, education, certifications, skills, and geographic location. The base salary range for this role in the United States is $139,000-$160,000. In addition, you may be eligible for additional compensation. Employees may also be eligible for a wide range of other benefits, including medical, retirement, financial, wellness, time off, employee discounts, and others. Why Join Us? At Alteryx, you'll be at the forefront of AI-driven analytics and cloud transformation, working with some of the world's most data-driven organizations. If you're passionate about helping customers modernize their analytics stack and leverage AI at scale, we'd love to hear from you! Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we're invested in building teams with a wide variety of backgrounds, identities, and experiences. Benefits & Perks: Alteryx has amazing benefits for all Associates which can be viewed here. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records. This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls.