Data Architect jobs at Resource Informatics Group, Inc

NVIDIA is seeking an AI Solutions Architect to join its Infrastructure Planning and Process Team! This role will focus on the extensive scale-up of key AI solutions for NVIDIA's internal cloud infrastructure. IPP (Infrastructure, Planning and Process) is a global organization within NVIDIA, working closely with various teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars to meet their infrastructure needs. The cloud services support nearly half a million automated jobs daily on five thousand servers, enhancing the productivity of thousands of NVIDIA software developers worldwide. The cloud hosts a diverse mix of machines and devices with various operating systems (Windows/Linux/Android) and hardware platforms, including NVIDIA GPUs and Tegra processors. As an AI Solutions Architect, you will manage the tools NVIDIAns use to deliver solutions quickly, and identify any gaps in these tools. You will also understand overall movement of data in the entire platform, identifying bottlenecks, defining solutions, developing key pieces, writing APIs, and owning deployment. You will collaborate with internal and external development teams to discover opportunities and solve complex problems. Your role will also involve guiding engineers in solving complex problems, developing acceptance tests, and reviewing their work and test results. Exceptional technical leadership, communication, organizational, and analytical skills are required, along with a passion for solving large and complex problems, e.g. Peta Bytes of fast storage, Million cores, 100,000 builds and 100,000 tests. What you'll be doing: Serve as an Architect developing internal AI systems used by thousands of NVIDIANs globally. Identify gaps and issues and resolve ones are better suited for AI solutions versus conventional approaches. Further divide the AI category into 'buy versus build' options by researching available tools in the market. Align with teams across Nvidia to establish overall AI system goals and break them down into specific objectives for each sub-system. Drive, motivate, convince, and mentor sub-system leads to achieve improvements with agility and speed. Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems. Drive the planning of software/hardware capacity, covering both internal and public cloud, addressing the balance between time and utilization. Introduce technologies enabling massively parallel systems to improve turnaround time by an order of magnitude. Collaborate with AI product vendors to gain deep insights of the AI industry, and share them with leaders and developers internally. What we need to see: BS EE/CS or equivalent experience with 10+ years of systems software development with at least 1 year of experience in developing/exploring AI. Development with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Fine-Tuning LLMs, AI Agentic workflows, LangChain, LangGraphs, and Cascading models. Experience in deploying in hybrid, multi-cloud architecture and edge computing. Extensive experience architecting and shipping large-scale distributed software systems. Ability to identify gaps and bottlenecks, and develop solutions to optimize performance. Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs. Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch. Excellent knowledge and working experience with Docker containers and Virtual Machines. Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka. Ability to work across organizational boundaries optimally to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: MS or PhD in EE/CS Depth in AI, Machine Learning and Deep Learning algorithms and techniques. Strong collaborative and interpersonal skills, with a consistent record of guiding and influencing others in dynamic environments. Experience developing large-scale software systems using service-oriented architecture under real-time performance requirements. Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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.

Data Architecture & Modeling Design and maintain enterprise-level logical, conceptual, and physical data models. Define data standards, naming conventions, metadata structures, and modeling best practices. Ensure scalability, performance, and alignment of data models with business requirements. Data Governance & Quality Implement and enforce data governance principles and policies. Define data ownership, stewardship, data lineage, and lifecycle management. Lead initiatives to improve data quality, consistency, and compliance. Enterprise Data Management Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks. Define and oversee the enterprise data architecture blueprint. Ensure alignment between business vision and data technology roadmaps.

Need strong Data Management resources that have hands-on data provisioning and ability to distribute the data. Moderate to Advanced SQL skills (writing complex queries is a plus) Commercial Lending (iHub, WICS, WICDR systems)/Commercial Banking Background Metadata/Data Governance Regulatory Reporting Data Management Framework SQL Data Quality

Immediate need for a talented Data Architect. This is a 12 month contract opportunity with long-term potential and is located in Basking Ridge, NJ (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-93859 Pay Range: $110 - $120/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key Skills; ETL, LTMC, SaaS . 5 years as a Data Architect 5 years in ETL 3 years in LTMC Our client is a leading Telecom Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

For more details, please connect with Gautmi Jain at ************ or email at ********************* This project is to modernize aging Data Warehouse and Data Analytic systems utilizing new on-premises cloud- and container-based technologies Required Skills: 84 months experience with a Government Taxation organization, which includes system design, development, maintenance and end user support of Tax & Revenue Accounting Systems and Tax Identification Systems. 84 months experience in design and administration for DB2 LUW on AIX including the use of PureXML and Database Partitioning Feature, traditional DBA tasks of design, tuning, storage management, memory/buffering, backup/recovery and object maintenance. The experience must be on both high-volume transactional systems and analytical systems and involve data purging and roll off, data movement and the shredding natively stored XML data to flattened structures. 84 months of database design and programming experience using Computer Associates IDMS database, programming for an IDMS database using its DMLO language as well as logical design, database navigation, analysis, writing application specifications, testing, documentation. 84 Months experience in administration and support of IBM's InfoSphere Data Replication software to replicate data between databases on DB2 for z/OS and DB2 LUW on AIX (ver 9.5 or higher) including the setup, configuration and maintenance of IBM InfoSphere Data Replication Change Data Capture (CDC), in usage for 24/7 high volume transactional processing databases. 84 months experience with Application performance analysis and tuning 84 months experience with troubleshooting applications on an IBM Mainframe running DB2 z/OS and CICS/MQ

Do you like startups? Are you excited about helping Gen AI startups? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in. We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you'll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You'll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale. As well as spending time working directly with customers, you'll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll share knowledge more broadly by working on technical content and presenting at events. Key job responsibilities -Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle -Support startups in architecting scalable, reliable and secure solutions -Support adoption of a broad range of AWS services to deliver business value and accelerate growth -Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback -Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs -Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market A day in the life Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in. The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost effective and easy to operate architectures. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience PREFERRED QUALIFICATIONS- 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Senior Data Engineer & Test in Phoenix 85029 will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects Key Responsibilities 1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads. 2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability. 3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions. 4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines. 5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle. 6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions. 7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts. 8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices. 9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks. Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage. Includes all above skills, plus the following; · Minimum of 10+ years overall IT experience · Experienced in waterfall, iterative, and agile methodologies Technical Requirment: 1. Hands-on Data Engineering : Minimum 5+ yearsof practical experience building production-grade data pipelines using Python and PySpark. 2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments. 3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelinesfor data engineering workflows, including automated testing and deployment**. 4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles 5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices 6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows). 7. Unix/Linux: Strong command-line skills** in Unix-like environments. 8. SQL : Solid understanding of SQL for data ingestion and analysis. 9. Collaborative Development : Comfortable with code reviews, pair programming and usingremote collaboration tools effectively. 10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software 11. Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Job Title: Senior Global Data Warehouse Architect Duration: Full-Time/Permanent We are seeking a Senior Global Data Warehouse Architect to design and deliver modern, scalable, and high-performing data platforms that enable advanced financial and operational analytics. The role focuses on defining enterprise data architecture strategy, optimizing data flows, and ensuring data structures are reliable, efficient, and built for analytical depth and scalability. The architect will develop data platforms that deliver reconciled financial and operational metrics, reduce time-to-insight, and establish standards for data governance, lineage, and model reusability to elevate data quality across the enterprise. **LAW FIRM EXPERIENCE REQUIRED. Responsibilities Design and implement enterprise-grade data architectures on Databricks, Snowflake, or similar platforms for real-time and batch analytical workloads. Build efficient ELT/ETL workflows using Spark, Python, and SQL to ingest, transform, and curate large volumes of structured and unstructured financial and operational data. Create and maintain dimensional, normalized, and semantic data models to support financial reporting, performance analytics, and forecasting. Lead integration design for financial and HRIS systems, ensuring accurate reconciliation and alignment with enterprise data warehouse schemas. Enforce data governance policies, lineage tracking, and metadata standards to ensure data accuracy, consistency, and regulatory compliance. Tune query performance, optimize compute and storage costs, and implement data caching and partitioning strategies to improve processing speed and efficiency. Collaborate with data engineers, BI developers, finance analysts, and technology teams to translate business requirements into scalable data solutions. Evaluate new tools, frameworks, and architectures to enhance data platform performance and scalability. Qualifications 8+ years of experience in data architecture, data engineering, or BI engineering roles. Hands-on experience architecting solutions on Databricks and/or Snowflake. Strong proficiency in SQL, Python, and Spark. Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault). Proven experience designing data lakes and lakehouse architectures. Familiarity with financial data structures, accounting schemas, and practice management systems such as Elite 3E or Aderant. Experience supporting financial planning, billing, profitability, and time & expense analytics. Experience with cloud platforms (AWS, Azure, or GCP), data platform tools (Databricks, Snowflake, S3, Delta Lake), and BI/visualization tools (Power BI, Tableau, or equivalent). Strong analytical, problem-solving, and communication skills. Ability to influence and align technical direction across teams. Relevant certifications preferred: Databricks Certified Data Engineer/Architect, Snowflake SnowPro Advanced: Architect, TOGAF or other enterprise data architecture credentials.

Strong knowledge of data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, etc.). Experience with ETL/ELT tools, data modeling, and data governance frameworks. Familiarity with BI tools (Power BI, Tableau, Qlik) and advanced analytics concepts. Presales Skills Excellent communication and presentation skills for both technical and business audiences. Ability to create solution proposals, architecture diagrams, and cost models. Experience 15+ years in data engineering, analytics, or related roles, with at least 3 years in presales or solution consulting. Exposure to cloud platforms (AWS, Azure, GCP) and hybrid architectures. Education Bachelor's or master's degree in computer science, Data Science, or related field.

Since 2006, CoStrategix has defined and implemented digital transformation initiatives, data and analytics capabilities, and digital commerce solutions for Fortune 500 and mid-market customers. CoStrategix provides thought leadership, strategy, and comprehensive end-to-end technology execution to help organizations transform and stay competitive in today's digital world. As a Gixer (employee) at CoStrategix, you will have broad exposure to diverse industries and technologies. You will work on leading-edge digital projects in areas of Data Engineering, Data Governance, Data Strategy, AI, Cloud,. Gixers operate at the leading edge of technologies, and our projects require compelling human interfaces and modern data platforms. This role is based at our culture hub in Blue Ash, Ohio. About this role: As a Data Architect at CoStrategix, you will define, orchestrate, and implement modern data platforms and architectures. This role is about understanding the current state of data ecosystems, mapping existing data flows and structures, creating an architectural blueprint, and then implementing data strategies and governance frameworks in rapid cycles. In this role, you will provide the following: Strategic & Consultative Responsibilities Act as a trusted data advisor to client stakeholders, clearly communicating trade-offs, guiding decision-making, and influencing the adoption of modern data practices. Lead stakeholder interviews and working sessions to elicit requirements, clarify use cases, and align on priorities, scope, and success metrics. Create phased data roadmaps with clear milestones, dependencies, and value outcomes (e.g., time-to-insight, cost reduction, risk reduction) and track progress against them. Provide architectural input into scoping and pricing of data engagements; ensure solutions balance value, risk, and cost, and support delivery teams in staying aligned to scope and architectural guardrails. Work closely with sales and account teams to understand customer objectives and translate them into practical, scalable data architecture and solution designs. Participate in pre-sales engagements, discovery workshops, proposal development, client presentations, and proof-of-concept activities to showcase solution feasibility and value. Data Governance, Quality & Operating Model Bring consultative competencies around data governance and data quality, helping clients define guiding principles, policies, and operating models. Lead development of comprehensive data strategies for clients that align with their business priorities. Design processes for metadata management, lineage tracking, and master data management (MDM), including stewardship roles and workflows. Establish and maintain data quality standards, metrics, and monitoring processes to ensure accurate, complete, and timely data across critical domains. Develop semantic models and curated datasets, guide adoption of data cataloging and data literacy programs. Enterprise & Solution Architecture Design and maintain conceptual, logical, and physical data architectures to support enterprise, analytical, and operational systems. Assess and recommend data platforms, cloud services, and emerging technologies to meet business needs, while collaborating with Cloud, DevOps, and Security Architects to ensure architectural alignment. Partner with Data Analysts, BI Developers, and Data Scientists to ensure data architectures enable analytics, visualization, and AI/ML initiatives. Define non-functional requirements (performance, scalability, resilience, cost, security, and compliance) for data solutions, and ensure they are addressed in the architecture and design. Maintain architecture decision records, reference architectures, and reusable patterns; define and promote standards and best practices for data modeling, integration, and consumption across teams. Implementation, Delivery & Enablement Lead the implementation of scalable, secure, and high-performing data and transformation frameworks that unify data across platforms and enable real-time, batch, and event-driven use cases. Define and enforce data design standards, patterns, and best practices during implementation to ensure consistency, maintainability, and performance. Mentor and coach engineering and analytics teams in data design principles, governance frameworks, and architectural discipline to ensure consistency and quality in delivery. Qualifications: Bachelor's Degree in Math, Statistics, Computer Science, Information Technology, or a related field 8+ years of experience in data management and architecture roles 3 to 5 years of leading data strategy, governance, or modernization efforts 3 to 5 years of pre-sales, client solutioning, and/or consulting engagement in Data Management Experience designing and implementing modern data architectures Current understanding of best practices regarding data security, governance, and regulatory compliance Experience in data modeling, data engineering, and analytics platform architecture Experience with data engineering tooling such as Databricks, Snowflake, Synapse, BigQuery, Kafka, and dbt Experience with software development, DevOps best practices, and automation methodologies Excellent leadership and negotiation skills are necessary to work effectively with colleagues at various levels of the organization and across multiple locations Communicate complex issues crisply and concisely to various levels of management Coaching and mentoring skills - ability to adapt to all levels of the organization Strong collaboration skills and excellent verbal and written communication skills About CoStrategix We make CoStrategix an awesome place to work, offering a total rewards package that includes comprehensive benefits starting on day one. Benefits include medical, dental, vision, disability, and life insurance, as well as an EAP and 401(k) retirement plan. We are a flexible hybrid workplace committed to a culture of curiosity, collaboration, learning, self-improvement, and, above all, fun. We have been named a finalist for the Cincinnati Business Courier's Best Places to Work Awards for 4 consecutive years. Do the Right Thing. Always. At CoStrategix, we are passionate about our core values. Diversity, equity & inclusion (DE&I) are part of our core values Every Gixer (employee) has an opportunity for success regardless of their race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Creating an environment where everyone, from any background, can do their best work is the right thing to do.

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

Purpose: As a Cloud Data Architect, you'll be at the forefront of innovation - guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won't just architect solutions -you'll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You'll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations. Key Result Areas and Activities: Architect and deliver scalable, cloud-native data solutions across various industries. Lead data strategy workshops and AI/ML readiness assessments. Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog). Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake. Engage with stakeholders to define and align future-state data strategies with business outcomes. Mentor and lead data engineering and architecture teams. Drive innovation and thought leadership across client engagements and internal practice areas. Promote FinOps practices, ensuring cost optimization within multi-cloud deployments. Support client relationship management and engagement expansion through consulting excellence. Roles & Responsibilities Essential Skills: 10+ years of experience designing and delivering scalable data architecture and solutions. 5+ years in consulting, with demonstrated client-facing leadership. Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow. Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake). Proficiency in Spark and Python for data engineering and processing tasks. Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA. Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence. Excellent communication skills with proven ability to consult and influence executive stakeholders. Desirable Skills Recognized thought leadership in emerging data and AI technologies. Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization. Familiarity with data governance and data quality best practices at the enterprise level. Knowledge of DevOps and MLOps pipelines in cloud environments. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related fields. Professional certifications in Databricks, AWS, Azure, or Snowflake preferred. TOGAF, DAMA, or other architecture framework certifications are a plus. Qualities: Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Our client is currently seeking a Data Analyst Hybrid to the northern suburbs of Chicago W2 Only In this role, you'll evaluate usage, adoption, and performance of IIN systems, identify data mining opportunities, and integrate findings with key performance indicators. You'll collaborate with cross-functional teams to deliver dashboards, reports, and scorecards that inform strategy. What You'll Do Analyze usage, adoption, and efficacy of IIN systems. Identify and execute data mining opportunities. Integrate insights with traditional KPIs. Provide analytical support for projects and stakeholders. Develop and share dashboards, reports, and scorecards. Ensure data accuracy, format, and availability. What We're Looking For Bachelor's degree in Statistics, Data Science, Mathematics, or related field. Strong analytical skills and ability to interpret complex datasets. Advanced Excel skills (pivot tables, VLOOKUP, Power Query, visualization). Expertise in Tableau for dashboard design and optimization. Hands-on experience with Snowflake and SQL for data warehousing and analysis. Strong business acumen and ability to align data strategies with goals. Excellent communication and collaboration skills. Nice to Have Experience with KPI reporting and BI tools. Familiarity with advanced data visualization techniques. Rate: $65-90/HR

We're looking for a data-driven professional to join our team as a Data Analyst - Statistician, responsible for turning complex data into actionable insights that drive business decisions. In this role, you'll evaluate usage, adoption, and efficacy systems, uncover data mining opportunities, and integrate findings with traditional KPIs. You'll also support analytical projects, guide data formatting and availability, and deliver impactful reports, scorecards, and dashboards. What You'll Do: Analyze and interpret large datasets to identify trends and opportunities. Evaluate system performance and effectiveness, integrating insights with KPIs. Provide analytical support for cross-functional projects. Design and share reports, dashboards, and scorecards to inform stakeholders. Collaborate with teams to ensure data accessibility and quality. Perform additional duties as assigned by your manager. Core Competencies: Data Analysis & Interpretation: Ability to transform complex data into actionable insights. Excel Expertise: Advanced skills in pivot tables, VLOOKUP, Power Query, and data visualization. Tableau: Skilled in creating interactive dashboards and optimizing performance. Snowflake: Hands-on experience with data warehousing and efficient SQL queries. SQL Proficiency: Strong ability to write and optimize queries for data extraction and analysis. Business Acumen: Align data strategies with organizational goals. Collaboration & Communication: Work effectively with product owners, engineers, and stakeholders.

Senior Data Governance Consultant (Informatica) About Paradigm - Intelligence Amplified Paradigm is a strategic consulting firm that turns vision into tangible results. For over 30 years, we've helped Fortune 500 and high-growth organizations accelerate business outcomes across data, cloud, and AI. From strategy through execution, we empower clients to make smarter decisions, move faster, and maximize return on their technology investments. What sets us apart isn't just what we do, it's how we do it. Driven by a clear mission and values rooted in integrity, excellence, and collaboration, we deliver work that creates lasting impact. At Paradigm, your ideas are heard, your growth is prioritized, your contributions make a difference. Summary: We are seeking a Senior Data Governance Consultant to lead and enhance data governance capabilities across a financial services organization The Senior Data Governance Consultant will collaborate closely with business, risk, compliance, technology, and data management teams to define data standards, strengthen data controls, and drive a culture of data accountability and stewardship The ideal candidate will have deep experience in developing and implementing data governance frameworks, data policies, and control mechanisms that ensure compliance, consistency, and trust in enterprise data assets Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred This position is Remote, with occasional travel to Plano, TX Responsibilities: Data Governance Frameworks: Design, implement, and enhance data governance frameworks aligned with regulatory expectations (e.g., BCBS 239, GDPR, CCPA, DORA) and internal control standards Policy & Standards Development: Develop, maintain, and operationalize data policies, standards, and procedures that govern data quality, metadata management, data lineage, and data ownership Control Design & Implementation: Define and embed data control frameworks across data lifecycle processes to ensure data integrity, accuracy, completeness, and timeliness Risk & Compliance Alignment: Work with risk and compliance teams to identify data-related risks and ensure appropriate mitigation and monitoring controls are in place Stakeholder Engagement: Partner with data owners, stewards, and business leaders to promote governance practices and drive adoption of governance tools and processes Data Quality Management: Define and monitor data quality metrics and KPIs, establishing escalation and remediation procedures for data quality issues Metadata & Lineage: Support metadata and data lineage initiatives to increase transparency and enable traceability across systems and processes Reporting & Governance Committees: Prepare materials and reporting for data governance forums, risk committees, and senior management updates Change Management & Training: Develop communication and training materials to embed governance culture and ensure consistent understanding across the organization Required Qualifications: 7+ years of experience in data governance, data management, or data risk roles within financial services (banking, insurance, or asset management preferred) Strong knowledge of data policy development, data standards, and control frameworks Proven experience aligning data governance initiatives with regulatory and compliance requirements Familiarity with Informatica data governance and metadata tools Excellent communication skills with the ability to influence senior stakeholders and translate technical concepts into business language Deep understanding of data management principles (DAMA-DMBOK, DCAM, or equivalent frameworks) Bachelor's or Master's Degree in Information Management, Data Science, Computer Science, Business, or related field Preferred Qualifications: Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred Experience with data risk management or data control testing Knowledge of financial regulatory frameworks (e.g., Basel, MiFID II, Solvency II, BCBS 239) Certifications, such as Informatica, CDMP, or DCAM Background in consulting or large-scale data transformation programs Key Competencies: Strategic and analytical thinking Strong governance and control mindset Excellent stakeholder and relationship management Ability to drive organizational change and embed governance culture Attention to detail with a pragmatic approach Why Join Paradigm At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm. Learn more at ******************** Policy Disclosure: Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

JD: 14+ years of overall IT experience with expertise in Data landscape - Data Warehouse, Data lake etc. Hands on experience in Big Data and Hadoop ecosystem; Strong skills in SQL, Python or Spark Proficient in Data Warehousing concepts and Customer Data Management (Customer 360) Experience in GCP platform - Dataflow, Dataproc, Kubernetes containers etc. Expertise in deep Data exploration and Data analysis Excellent communication and inter personal skills

iO Associates are currently partnered with a global consulting firm known for delivering cutting-edge cloud and security solutions to enterprise clients. As Senior Consulting Architect, you will be the technical authority responsible for ensuring network stability, scalability, and compliance across client environments. You'll design and implement cutting-edge Datacenter solutions, oversee incident and problem resolution, and act as a trusted advisor to enterprise clients. This role offers the opportunity to shape large-scale infrastructure strategies while maintaining a high standard of operational excellence. Key Responsibilities * Lead the planning, design, and implementation of Datacenter technology solutions focused on network performance, scalability, and compliance. * Act as a Subject Matter Expert across multiple teams and client organizations, providing technical leadership and guidance. * Own the resolution of complex, high-severity incidents, ensuring timely, accurate, and root-cause-based solutions. * Translate high-level network architectures into detailed implementation designs. * Define and enforce standards, policies, and best practices across all project stages. * Collaborate with cross-functional teams to integrate network solutions with other infrastructure and security services. * Maintain and enhance client networks across Datacenters, ensuring optimal reliability and uptime. * Deliver exceptional service and technical excellence to enterprise clients with demanding operational requirements. Required Skills & Experience * Proven expertise in network design, implementation, and troubleshooting within complex enterprise environments. * SASE, SD-WAN, Palo Alto, and Cisco Routing and Switching experience is required * Experience working as a Consultant to multiple end-clients is required * Excellent written and verbal communication skills, with the ability to communicate complex concepts clearly to technical and non-technical stakeholders. This is a 100% remote role, the candidates must be comfortable working in different timezones. This role is open to U.S. Citizens and Greencard holders only.

Miracle Software Systems, Inc., are actively looking for Architect Senior to work W2 position for one of our direct client at Dearborn, MI. Architect Senior Dearborn, MI Long term Responsible for application design, installation, configuration and development support activities for B2Bi, Web and Mainframe applications • Demonstrate a good level of expertise in one or more technical environments (software packages, programming language, database, operating system), and a good knowledge of EDI Solution • Responsible for quality of solution in each environment and for each trading partner • Coordinate with related work streams / teams including infrastructure teams, Customer Service Division and Manufacturing • Perform systems tuning and diagnostics on UNIX, LINUX and WINDOWS platforms Skills Required: Solution Architecture, Unix, Network Protocols & Standards, Session Initiation Protocols, GCP Skills Preferred: Mainframe Systems Experience Required: 5+ years of experience in a wide range of business areas of supply chain management including system development, business intelligence, business processes and customer relations. • 5+ years of experience with Enterprise Application Integration, middleware, or other integration experience. • 5+ years of experience with architecture diagrams, sequence diagrams, uml diagrams, network connectivity and communication protocols • Proficiency with EDI mapping tools, ANSI X12, EDIFACT, UNIX. LINUX, Windows, SQL Server, MQ Series Experience Preferred: Familiarity with web and mainframe applications Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information : Hybrid with 4 days a week expected onsite."

Job Description Role: Senior Data Engineer Duration: 12 months Senior Data Engineer will be responsible for leading data engineering and ETL projects, mentoring team members, and architecting and developing ETL solutions. Also, should ensure development standards are maintained and must be able to collaborate with internal and external customers and coordinate the work of team members. Essential Job Functions: · Manage & deliver ETL solutions by liaising with business users, architects and understanding the business requirements · Help design and develop technical and business solutions · Should be able to coordinate & work with offshore developers · Develop technical solutions which may involve a variety of data development tools, preferably SQL Server or Informatica · Design, develop, test and support from SQL stored procedures, views, Informatica workflows, Control-M flows or script objects · Executes unit and system test scripts, analyzes, captures and publishes test results · Mentors junior staff members in all areas of database engineering. Guide team members in setting expectations and monitor their progress · Identifies opportunities to create efficiencies in technical work streams as well as in operational procedures of team Must have skills: · Informatica Power Center · SQL & stored procedure development in MS SQL Server or Oracle · Enterprise Job Schedulers, preferably with Control-M Nice to have skills: · Informatica Data Quality · PowerShell, Python scripting · Big Data technologies