Solutions architect jobs in Dallas, TX

Senior Solution Architect - Generative AI (Hybrid | Dallas, TX) Brought to you by CornerStone Technology Talent Services (TTS) CornerStone Technology Talent Services (TTS), a woman-owned leader in IT staffing and digital transformation, is seeking a Senior Solution Architect - GenAI for a transformative opportunity in the financial technology space. This is a highly strategic and hands-on role for an experienced technologist ready to lead the design and delivery of production-ready Generative AI (GenAI) solutions and intelligent agents. We're looking for a sharp thinker and builder - someone with a proven track record architecting GenAI applications at scale, a deep understanding of the current AI toolchain, and the mindset to solve complex, regulated-industry challenges. You'll be embedded in a high-performing, cross-functional team dedicated to innovation through AI. About the Role As a Senior Solution Architect, you will guide the end-to-end strategy, design, and implementation of GenAI systems tailored to real-world use cases in financial services. You'll shape architecture for intelligent agent frameworks, retrieval-augmented generation (RAG), and scalable multi-agent systems - all while ensuring enterprise readiness in terms of compliance, governance, and security. Key Responsibilities Architect and implement enterprise-scale Generative AI solutions and intelligent agents for mission-critical financial use cases Design RAG pipelines, agentic workflows, and orchestration strategies that handle contextual memory, vector similarity, and modular prompts Build MVPs and PoCs hands-on to validate new architectures and use cases Evaluate and select appropriate LLMs, embedding models, and frameworks, aligned to performance benchmarks and compliance standards Collaborate across data, security, product, and engineering teams to translate complex business goals into scalable technical solutions Ensure alignment with regulatory requirements and data governance policies in high-trust environments Required Experience 10+ years in enterprise-level solution architecture 2+ years of hands-on GenAI experience, including successful delivery of production-ready GenAI or agent-based systems Deep knowledge of agentic architectures, LLM orchestration, RAG pipelines, and multi-agent coordination Strong coding ability in Python, with familiarity in TypeScript or C# for prototyping Experience working with vector databases such as Pinecone, Chroma, Weaviate, or FAISS Fluency with modern AI platforms including Azure OpenAI, OpenAI API, Vertex AI, and Anthropic Background in highly regulated industries (finance, healthcare, insurance) with attention to data privacy and AI compliance frameworks What Sets This Role Apart You won't be building proof-of-concept demos in isolation - you'll be building real AI systems that go into production in regulated industries. You'll have the space to explore, but also the expectation to lead from the front. This is a role where innovation meets accountability. Why CornerStone TTS As a specialized division of CornerStone Staffing, we bring decades of experience in matching cutting-edge talent with visionary organizations. Our recruiters speak the language of tech and partner deeply with our candidates and clients to ensure every placement is aligned, strategic, and meaningful. If you're a GenAI innovator ready to architect the future of AI in financial services, CornerStone TTS is ready to partner with you. Submit your resume or connect with our team to learn more.

Programmers.io is currently looking for a "Solutions Architect" Hybrid Role in Dallas, Texas, United States (2 Days onsite and rest remote/week) FULL Time Role -( Open for US CITIZENS OR GREEN CARD HOLDERS ) NO C2C The Role We are looking for a Solution Architect to join our growing team. In this role, you will design modern application architectures, system migrations, and cutting-edge cloud & AI solutions for our clients. You'll partner closely with stakeholders, lead technical design, and provide hands-on guidance to ensure success. What You'll Do Architect and deliver solutions for application modernization, system migrations, and cloud adoption (Azure/AWS/GCP). Design and implement APIs and web applications on the Microsoft platform. Craft Gen AI-enabled solutions and integrate them into enterprise systems. Provide hands-on leadership across technologies including .NET, C#, NodeJS, Define best practices in cloud-native, microservices, and event-driven architectures. Collaborate with both business and technical stakeholders to translate needs into scalable solutions. What We're Looking For ✅ Proven experience as a Solution Architect or Applications Architect. ✅ Expertise in designing APIs and enterprise web applications. Please share your resume on ************************ along with your annual pay expectations

Dallas - Hybrid (3-days onsite) We are seeking an experienced technical leader to manage a team of architects focused on high-performance computing (HPC) solutions. This position involves guiding customers through the full solution lifecycle, from initial requirements to deployment and optimization, while ensuring architectures are secure, scalable, and tailored for complex workloads. Key Responsibilities: Lead and mentor a team of architects across compute, storage, networking, Kubernetes, and security domains. Design and implement reference architectures and best practices for HPC environments. Oversee proof-of-concept initiatives and validate performance for advanced workloads. Stay current with emerging technologies such as GPU acceleration, orchestration frameworks, and distributed storage systems. Engage with customers to translate technical requirements into optimized solutions. Represent the organization in technical workshops and industry forums. Required Qualifications: 10+ years in HPC, solutions architecture, or large-scale distributed systems. 3+ years in technical leadership, managing multi-disciplinary teams. Expertise in compute, storage, networking, Kubernetes, and security. Hands-on experience with GPU acceleration (CUDA, NVIDIA), workload schedulers (Slurm, Kubernetes), and distributed storage systems. Strong communication skills for both technical and executive audiences. Preferred Skills: Experience delivering HPC or AI/ML workloads at scale. Familiarity with data platforms (Kafka, Spark) and DevOps tools (Terraform, Ansible, CI/CD). Advanced technical degree and relevant certifications (AWS, Azure, GCP, Kubernetes, etc.).

Solution Architect Lead Hybrid - 3 days in office, 2 remote (will most to onsite 5 days a week in 2026) Pittsburgh, PA Strongsville, OH Dallas, TX Brimingham, AL Phoenix, AZ Miamisburg, OH Philadelphia, PA Jacksonville, FL Rocky Mount, NC We are seeking a senior ServiceNow Solutions Architect to lead the design, implementation, and governed adoption of the Common Service Data Model (CSDM) across the enterprise. This role will develop scalable service-centric architectures, align platform teams to out-of-box standards, and drive cross-module value realization across CMDB, ITSM, ITOM, SPM/APM, and SACM. Key Responsibilities CSDM & CMDB Architecture: Establish and maintain the enterprise CSDM blueprint, provide prescriptive service-modeling guidance, and champion configuration over customization. Service Modeling & Mapping: Lead the service mapping strategy to align Application Services and Technical CIs to CSDM. Portfolio & Product Alignment (SPM/APM): Integrate SPM and APM data models with CSDM to support enterprise portfolio insights. Data Governance & Quality: Define data ownership and governance practices, implementing quality controls and validation gates. Integration & Compliance: Architect integrations that support CMDB/CSDM data exchange and ensure alignment with standards and policies. Technical Leadership & Enablement: Serve as the Design Authority, create architecture artifacts, and mentor delivery teams. Required Qualifications 10+ years in enterprise architecture or platform engineering, including 5+ years implementing CSDM and CMDB at scale. Demonstrated success delivering out-of-box ServiceNow solutions spanning ITSM, ITOM, SPM/APM, and SACM. Deep expertise in Service Mapping, Discovery, CI class modeling, and data-quality automation. Strong background in integrations (REST/SOAP, IntegrationHub), data modeling, and governance processes. Preferred Certifications ServiceNow CSA and CIS certifications (ITSM, SPM/APM, ITOM, CMDB/Discovery). CAD (Certified Application Developer); ITIL v4 Foundation. Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at: ********************************

One of the fastest-growing companies in high performance compute is building a new Solutions Architecture group. And they are looking for a Manager who can help define what next-generation compute looks like. As the Manager of HPC Solutions Architecture, you will lead a team of specialists across compute, storage, networking, Kubernetes, security, and systems integration. Your team works directly with customers to design secure, scalable, high-performance solutions tailored to their workloads. You'll guide the full customer lifecycle, from early discovery and architecture design to proofs-of-concept, deployment, and ongoing optimization. Your work ensures customers see real value and can scale as their needs grow. You'll also act as a strategic advisor, building strong customer relationships and aligning solutions to technical and business goals. Internally, you'll partner with product and engineering to turn field insights into reference architectures, reusable patterns, and platform improvements. Responsibilities: Develop a team of Solutions Architects across compute, storage, Kubernetes, networking, security, and systems integration Act as the link between customers, your team, and engineering. Oversee the creation of reference architectures and design blueprints to ensure repeatable, scalable solutions. Guide POC initiatives, validating solution performance and accelerating customer confidence in adoption. Recommend strategic design choices across compute, storage, networking, data pipelines, and security for customer-specific workloads. Encourage prototyping of new architectural approaches for emerging HPC and AI/ML workloads Ensure the team maintains high-quality documentation, reusable patterns, and best practices for consistent delivery. Required Skills: 10+ years of experience in HPC, Solutions Architecture, and/or large-scale systems design. 3+ years of technical team leadership (managing architects/engineers across domains). Proven leadership experience managing multi-disciplinary architecture or engineering teams within HPC, cloud, or large-scale distributed systems. Hands-on understanding of HPC technologies, including GPU acceleration (CUDA, NVIDIA ecosystem), workload schedulers (Armada, Slurm, Kubernetes), and distributed storage (VAST, Lustre, GPFS, object stores). Experience designing secure and compliant architectures, covering identity management, encryption, and regulatory frameworks. Proven success in customer-facing communication and engagement, with the ability to capture detailed technical requirements and translate them into tailored, scalable HPC system designs. Skilled at articulating complex solutions across AI/ML, scientific computing, simulation, and data-intensive workloads to both technical stakeholders and executive audiences. Required Skills: Experience wtih HPC or AI/ML workloads at scale, with a focus on performance, optimization, and lifecycle management. Familiarity with data and analytics platforms (Kafka, Spark, or similar) integrated with HPC workflows. Knowledge of automation and DevOps practices, including CI/CD (GitLab, Jenkins) and infrastructure-as-code (Terraform, Ansible). Background in customer-facing engagements, such as leading workshops, technical reviews, or industry presentations. Awareness of emerging compute technologies (next-gen GPUs, interconnects like InfiniBand/RDMA, and container runtimes for HPC). Advanced degree in Computer Science, Engineering, Physics, or related technical field. This role will require, relocation to Dallas, TX. Relocation package available for the right candidates.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. Role: Azure VMware Solution Architect Work Location: Dallas, TX 15+ years of IT experience and minimum 3 years of experience on Azure VMware Solution and 5 years of experience on VMware vSphere Azure cloud services deployments and cloud migrations Responsibilities You will partner with program managers and service delivery teams to plan architect and guide complex infrastructure deployments and migrations for large enterprise customers moving customers from on-premises VMware environments to Azure VMware Solution You will work directly with customer application infrastructure and security stakeholders to define requirements strategy and processes for successful design deployment migrations Maintain knowledge of the latest on Azure AVS and VMware products in order to propose designs to customers and act as subject matter trainer for other specialists Share knowledge with others through solution documents engage technical communities build automated self help solutions and create training Qualifications: Successful Candidate Competencies Relevant experience in architecting and designing data-centre and cloud infrastructures using VMware and Microsoft technologies Knowledge and implementation experience designing and developing solutions using VMwares Core Cloud Infrastructure Required Azure VMware Solution Required VMware vSphere 60 and above Required VMware NSXT network virtualization technologies NSX edge services DNS DHCP Gateway Firewall Distributed Firewall NSX implementation NSX migration from vlan or NSXv Required VMware vSAN Required VMware HCX Advanced Enterprise Preferred VMware Site Recovery Manager vSphere Replication Preferred VMware management suite vCD vROps vRNI vRLI Preferred VMware Cloud Director Experience with on-premises to Cloud or cloud to cloud migrations with VMware HCX Experience with relevant Azure technologies like Required Azure ExpressRoute and Azure VPN Required Azure Virtual WAN and Azure Route Server Required Azure networking Preferred Azure Disk Pools and Azure NetApp Files Preferred Azure Monitoring and Security technologies Monitor Arc Security Center Preferred 3rd party network virtual appliances firewalls loadbalancers routers for Azure and VMware environments Experience and good understanding of any leading cloud management systems and solutions Strong core platform architecture concepts including hardware platform hypervisor Networking security data protection high availability monitoring alerting patching etc Familiarity with security compliance standards across a variety of enterprise IT landscapes Experience with Azure Hosting or Infrastructure background and public cloud highly desired A good understanding of datacenter networking fabric topologies and common architectures deployed both Layer 2 and Layer 3 based is highly desired Strong presentation influencing and communication skills Education Qualifications BS or postgraduate degree in Computer Science or technologyfocused discipline or equivalent experience VCDXDCVCMA certification is preferred but not required CCDP CCNP VCPNV certification is preferred but not required Desired Qualifications Experience working with enterprise customers on Azure specific solutions and deployment Ability to communicate effectively with corporate customers possess an understanding of the onboarding process and demonstrate a vision for the future Excellent customer service skills good oral and written communication skills proven ability to handle difficult and sensitive situations involving the most critical and politically charged customer situations to lead projects and to motivate others Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree s applicable processes.

Client is looking for AWS Solution Architect with SAP Exposure Qualification Experience in designing cloud-native applications on AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, etc.). Strong knowledge of AWS Well-Architected Framework and cost/performance optimization. Exposure to SAP S/4HANA SD processes (Order-to-Cash, Pricing, Invoicing) and SAP BTP Integration Suite (APIs, monitoring, extensibility). Familiarity with Search Platforms (Coveo/OpenSearch) and enterprise data integration landscapes. Understanding of Enterprise Integration Patterns (EIP) using Kafka / Pub-Sub messaging. Create C4-model-based architecture artifacts covering system context, container, component, and data flow views. These are the domains they are asking if they have exposure to Order-to-Cash (O2C): End-to-end process of receiving, fulfilling, and collecting payment for customer orders. •Pricing: Framework that determines product prices using condition records, discounts, and agreements during sales transactions. Invoicing: Process of generating and managing customer bills based on delivered goods or services to ensure accurate payment collection.

Must be local to TX As a Principal Data & AI Solutions Engineer, you will lead the design, development, and delivery of advanced data and AI solutions across cloud platforms. You will serve as a trusted advisor to clients and internal teams, driving innovation, ensuring architectural integrity, and enabling scalable, secure, and high-performing systems. This role demands deep hands-on expertise in at least one modern Cloud Data & AI platform and the ability to translate complex business needs into actionable technical strategies. Key Responsibilities Client Engagement & Advisory Engage directly with enterprise clients to understand business goals and translate them into technical solutions. Serve as a strategic advisor to executive stakeholders, guiding architecture decisions and transformation roadmaps. Architecture & Solution Design Lead the design of scalable, extensible, and secure data and AI architectures using platforms such as Snowflake, Databricks, Azure, AWS, or GCP. Decompose future-state goals into actionable execution plans and reference architectures. Hands-On Technical Leadership Demonstrate deep hands-on expertise in at least one Cloud Data & AI platform, including environment setup, solution engineering, performance optimization, and cost management. Build and validate prototypes, frameworks, and accelerators to support solution delivery. Innovation & Reusability Partner with innovation teams to develop reusable assets, accelerators, and business point solutions across verticals such as Financial Services, Healthcare, Retail, and Travel & Hospitality. Project & Team Leadership Lead multiple projects simultaneously, providing technical oversight and mentoring to engineering teams. Ensure alignment with data governance, security, and compliance standards. Collaboration & Enablement Collaborate with product, marketing, and sales teams to support go-to-market strategies, demos, workshops, and client onboarding. Required Skills & Experience 10+ years of experience in Data Analytics, AI, and Cloud Architecture roles. Deep hands-on expertise and end-to-end solutioning experience with at least one Cloud Data & AI platform (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, GCP BigQuery). Strong understanding of data warehousing, ML/AI engineering, MLOps/AIOps, ata integration and Data Governance. Proficiency in SQL, Python, and data engineering tools for automation and transformation. Experience with ETL/ELT pipelines, data modeling, and visualization tools (Power BI, Tableau, Looker). Proven ability to lead cross-functional teams and manage complex technical projects. Excellent communication skills, with the ability to present technical concepts to non-technical audiences. Preferred Qualifications Experience with cloud migration and modernization initiatives. Familiarity with industry-specific data models and domain-driven design. Experience with data governance, privacy, and security frameworks.

We are seeking a seasoned Java Solutions Architect with deep expertise in enterprise digital platforms and DevOps practices to drive the technical strategy, architecture, and delivery of complex, multi-cloud solutions. This role demands a visionary leader who can combine architectural excellence, stakeholder collaboration, and hands-on technical delivery across hybrid teams, supporting digital transformation initiatives within the automotive finance domain. The ideal candidate possesses a strong technical foundation, exceptional communication skills, and a proven track record of architecting secure, scalable, and future-proof solutions in highly regulated environments. Roles and Responsibilities Architect Microservices Solutions: Lead the design and architecture of scalable, resilient, and maintainable microservices-based systems leveraging Spring Boot and Domain-Driven Design (DDD) principles. Domain-Driven Design Implementation: Apply DDD methodologies to model complex business domains Technical Leadership and Mentorship: Provide guidance and mentorship to development teams on best practices for microservices development, including API design, event-driven architectures, and asynchronous communication. End-to-End Solution Delivery: Architect and oversee delivery of comprehensive digital solutions across web and mobile platforms, aligned with evolving business and technology strategies. API and Integration Design: Design RESTful APIs and event-driven integrations that promote loose coupling, high cohesion, and seamless interoperability between microservices. Performance and Scalability Optimization: Enhance microservices performance and resilience by implementing caching, circuit breakers, load balancing, and other fault-tolerant patterns. Security Best Practices: Define and enforce robust security standards for microservices, including OAuth2, JWT, and secure inter-service communication protocols. DevOps and CI/CD Collaboration: Partner with DevOps teams to automate build, test, and deployment pipelines, ensuring rapid, reliable, and repeatable delivery cycles. Code Quality and Reviews: Establish and uphold coding standards, conduct thorough code reviews, and champion clean code aligned with DDD and microservices architecture. Monitoring and Troubleshooting: Implement comprehensive logging, monitoring, and alerting frameworks to proactively detect, diagnose, and resolve production issues. Stakeholder Engagement: Collaborate closely with product owners, business analysts, and other stakeholders to ensure technical solutions meet business objectives and deliver measurable value. Documentation: Maintain detailed architectural documentation, including service contracts, domain models, deployment diagrams, and technical specifications. Continuous Learning and Innovation: Stay abreast of emerging trends and advancements in Java, Spring Boot, microservices, and Domain-Driven Design to continuously refine architecture and development practices. Qualifications 15+ years of experience in software architecture and solution design, preferably within financial services, banking, or automotive finance sectors. Proven track record delivering large-scale, cloud-native solutions using modern web frameworks and enterprise integration patterns. Expertise designing and implementing CI/CD pipelines and leading DevOps adoption in regulated environments. Strong knowledge of cloud platforms such as AWS and Azure, including identity management, security, networking, and data integration. Familiarity with enterprise financial systems (loan servicing, origination, collections, billing) and heterogeneous system integrations. Experience working in regulated industries with a focus on compliance, data protection, and auditability. Excellent stakeholder management and communication skills, with the ability to influence and align cross-functional teams around a shared technical vision. Proven ability to lead agile, hybrid delivery models and collaborate effectively with globally distributed teams. Hands-on experience with microservices, API-first design, and integration middleware (e.g., MuleSoft, Apigee) is a plus. Knowledge of metrics-driven performance evaluation and DevOps maturity frameworks preferred. General understanding of web development best practices including accessibility, performance optimization, SEO, and production monitoring. Experience with JavaScript frameworks such as React and React Native. Solid expertise in open-source technology stacks and web/API security. Strong background in enterprise digital applications, micro front-end strategies, and open microservice architectures. Proficient in RESTful APIs, GraphQL, and integrating front-end components with backend services. Extensive experience with software engineering best practices including unit testing, automation, design patterns, and peer reviews. Deep proficiency in Java and Spring Boot development.

Salary: $240,000-$260,000 (based on qualifications and education) Clearance: Active And Transferable Top Secret/SCI Benefits: This role includes Medical, Dental, and Vision coverage, 6 weeks of paid PTO, Short-Term Disability, a 401(k) with 5% company match, and up to $8,000 in relocation assistance. Full Benefits package can be sent upon request. About the Company: This search is being managed by Talent Stack LLC, a woman-owned recruiting firm specializing in cleared and technical placements. We proudly represent a confidential, defense-focused client dedicated to solving mission-critical national security challenges. We are supporting a confidential defense-focused government contractor seeking a Senior Systems Architect and Design Engineer to develop next-generation Command & Control (C2), missile defense, and multi-domain integration architectures. This role directly supports mission-critical national security programs and requires deep experience designing complex DoD systems, advanced data/mission architectures, and multi-domain system interoperability. About the Role: In this position, you will lead architecture development across missile defense, C2/BM systems, multi-domain operations, and emerging data mesh services. You will shape mission workflows, develop DoDAF-compliant architectures, and create integration patterns across eight operational domains. You will also design system interfaces, produce ICDs, and help drive the technical implementation of a large-scale Data Mesh Reference Architecture (DMRA). What You Will Do: • Develop CONOPS documentation for missile defense mission workflows • Create and document C2 architectural approaches using DoDAF 2.0 formats • Contribute to the implementation of the DMRA Data Mesh services architecture (15 core services) • Design multi-domain integration solutions spanning: air, space, maritime, land, cyber, subsurface, electromagnetic, and information domains • Produce Interface Control Documents (ICDs) and API specifications for interoperability • Collaborate with systems engineers, developers, and mission stakeholders to align architecture with operational needs. Required Qualifications: • Bachelor's degree in Engineering, Mathematics, Physics, or related STEM field • 10+ years of professional experience in missile defense, C2/Battle Management, or similar DoD system development • Expertise with DoDAF 2.0, MODAF, and the systems engineering lifecycle • Strong background with C4ISR systems: track correlation, sensor fusion, fire control, battle management • Data architecture experience: data mesh patterns, microservices, event-driven architectures, federated governance Preferred Qualifications: • Experience with MBSE methodologies applied to DoD systems • Knowledge of the F2T2EA kill chain (Find, Fix, Track, Target, Engage, Assess) • Experience with Raytheon, Lockheed Martin, or Northrop Grumman defense platforms • Familiarity with Cross-Domain Solutions (CDS), Multi-Level Security (MLS), and Zero Trust • Understanding of CMOSS, SOSA, FACE, OMS/UCI, and STANAG standards • Experience supporting JADC2 or ABMS initiatives • Knowledge of AEGIS, THAAD, or Patriot systems • Understanding of DDIL environments and coalition/partner interoperability • Background in AI/ML integration for defense systems (Maven, Lattice) This role requires an active and transferable DoD Top Secret security clearance, with the ability to obtain and maintain TS/SCI access and polygraph. Only U.S. citizens are eligible for security clearance. Candidates without the required clearance cannot be considered for this position. Recruitment Agencies Disclaimer This position is open to direct applicants only. External recruiters, staffing agencies, or search firms should not submit candidates. Unsolicited resumes will be treated as direct applications, and agency fees will not be honored. Reference #X14

KPI Partners is a 5 times Gartner-recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled data engineers who want to work with the best team in data engineering. Title: Senior Data Architect Location: Plano, TX (Hybrid) Job Type: Contract - 6 Months Key Skills: SQL, PySpark, Databricks, and Azure Cloud Key Note: Looking for a Data Architect who is Hands-on with SQL, PySpark, Databricks, and Azure Cloud. About the Role: We are seeking a highly skilled and experienced Senior Data Architect to join our dynamic team at KPI, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you. Key Responsibilities: Data Engineering: Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies. Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions. Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability. Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform. Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development. Must-Have Skills & Qualifications: Minimum 12+ years of overall experience in IT Industry. 4+ years of experience in data engineering, with a strong background in building large-scale data solutions. 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions) Proven expertise in SQL for querying, manipulating, and analyzing large datasets. Strong knowledge of ETL processes and data warehousing fundamentals. Self-motivated and independent, with a “let's get this done” mindset and the ability to thrive in a fast-paced and dynamic environment. Good-to-Have Skills: Databricks Certification is a plus. Data Modeling, Azure Architect Certification.

*****C2C CONTRACT ROLE***** *****C2C CONTRACT ROLE***** *****C2C CONTRACT ROLE***** Job Title: Integration Architect Client: CL-CBG6270 JD : • Develop the overall integration vision, patterns, and frameworks, selecting appropriate technologies (e.g., MuleSoft, SAP PI/PO). • Collaborate with stakeholders to understand business needs and translate them into technical integration solutions.41059 • Architect end-to-end solutions, including designing data flows, defining entities, and building reusable integration processes. • Provide technical guidance, troubleshoot complex issues, and ensure solutions align with enterprise standards; mentor and support integration teams as needed. • Maintain integration governance by creating and updating architecture documentation and ensuring compliance with best practices. • Continuously evaluate existing integrations, assess and select new tools, and recommend improvements to enhance performance and scalability. If you are interested, please share your resumes with me at ***********************, or else reach me at **********

Akkodis is seeking a Senior Data Architect for a Contract with a client located in Dallas, TX (Hybrid). Pay Range: $80/hr - $90/hr, The rate may be negotiable based on experience, education, geographic location, and other factors Must have Oracle Exadata, ETL, Informatica, Golden Gate, and MDM. Job Description: Primary responsibilities of the Senior Data Architect include designing and managing Data Architectural solutions for multiple environments, including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in an expert role and will work closely with Business, DBA, ETL, and Data Management teams, providing solutions for complex data-related initiatives. This individual will also be responsible for developing and managing Data Governance and Master Data Management solutions. This candidate must have good technical and communication skills coupled with the ability to mentor effectively. Responsibilities Establishing policies, procedures, and guidelines regarding all aspects of Data Governance Ensure data decisions are consistent and best practices are adhered to Ensure Data Standardization definitions, Data Dictionary, and Data Lineage are kept up to date and accessible Work with ETL, Replication, and DBA teams to determine best practices as it relates to data transformations, data movement, and derivations Work with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movements and data transformations Work with and mentor Data Architects and Data Analysts to ensure best practices are adhered to for database design and data management Assist in overall Architectural solutions, including, but not limited to, Data Warehouse, ODS, Data Replication/ETL Data Management initiatives Work with the business teams and Enterprise Architecture team to ensure the best architectural solutions from a Data perspective Create a strategic roadmap for MDM implementation Responsible for implementing a Master Data Management tool Establishing policies, procedures, and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented, and best practices are adhered to Qualifications 5+ years of Data Architecture experience, including OLTP, Data Warehouse, and Big Data 5+ years of Solution Architecture experience 5+ years of MDM experience 5+ years of Data Governance experience, working knowledge of best practices Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP, and best practices for data tracking Good Communication skills Self-Motivated Capable of presenting to all levels of audiences Works well in a team environment If you are interested in this role, then please click APPLY NOW . For other opportunities available at Akkodis , or any questions, please contact Anirudh Srivastava at ************ or ***********************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ******************************************

Specific Responsibilities: Strategy Execution: Working with the Head of IT, develop and maintain the enterprise IT architecture vision and strategy, aligning it with business goals. Develop short- and long-term IT portfolio and plans to meet organizational needs. Communicate IT vision, strategy, metrics, annual goals, and success factors to the Head of IT and other stakeholders. Managing IT Architecture, Standards, Processes, and Tools: Plan, design, communicate, and manage IT projects, including tracking and leading system upgrades and replacements. Standardize tools and processes for agile development, estimation, and deployment. Monitor projects for adherence to defined IT architecture processes. Communicate important policy changes that affect internal operations. Develop and regularly test Business Continuity and Disaster Recovery plans. Manage detailed budgets for capital and operational expenses related to IT architecture efforts. Monitor and appropriately manage security and system alerts. Ensure regulatory and audit compliance throughout the IT architecture life cycle. Manage project related resourcing and address changes to project scopes and resource requirements. Driving for Results: Set high performance standards for self and others. Proactively solve problems and deliver results. Customer Relationships: Develop and sustain relationships based on understanding customer/stakeholder needs. Ensure actions are consistent with the company's service standards. Global Mindset: Support employees and business partners with diverse styles, abilities, motivations, and cultural perspectives. Utilize differences to drive innovation and engagement. Ensure employees contribute to their full potential. Strategic Partnerships: Develop collaborative relationships with other technical teams, employees, and business partners. Explore partnership opportunities both inside and outside the organization. Influence and leverage corporate and shared services leaders to achieve objectives. Ensure resources are received and corporate strategies. Required Qualifications: Bachelor's degree in computer science, information systems, related field, or equivalent work experience. At least 10+ years of experience in IT architecture. At least 10+ years of experience with enterprise architecture, software architecture, or CRM/ERP development, and Agile practices. At least 7 years of experience as a team lead. Proficiency in managing relationships with Vendors/ partners, ensuring effective communication and alignment. Proven experience in the following: Hands-on Salesforce development and SAP knowledge required Ecommerce platforms and solutioning DevOps tools and techniques Implementing OAuth2 and REST APIs Leading medium to large scale IT initiatives and business transformations Maintaining high standards for security and business continuity Proficiency in project management methodologies, including Kanban, Agile and Scrum. Demonstrated track record that includes working closely with Finance, Sales and Operations for process improvement within IT systems. Work with vendors and project managers to provide technical solutions for product development. Successfully managed significant system upgrades and replacements with minimal disruption. Flexibility to work in a fast-paced, priority-shifting environment.

Role: Senior Data Solution Architect Job Details As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. Responsibilities: Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies Expectations: To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products Proven expertise in building Data platforms & Data products Solid understanding of NLP, LLMs, and advanced analytics workflows Hands-on experience with Agentic AI systems and frameworks Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks Experience with BI/reporting tools Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams.

Job Title: Performance Engineering Architect Skills: Code optimizations, Code refinement, API refinement, Design improvement, AppDynamics, Appscan, Dynatrace, Performance monitoring, Prometheus/Grafana Experience: 15+ years We at Coforge are hiring a Performance Engineering Architect with the following skillset: Summary: Responsible for defining, designing, and governing end-to-end performance, scalability, and resilience strategies for mission-critical, high-transaction platforms. This role operates at the intersection of architecture, cloud engineering, DevOps, and data, ensuring systems perform predictably under peak load, irregular operations, and extreme scale. Key Responsibilities: Architecture & Strategy - Define performance engineering strategy across application, API, data, and infrastructure layers. Establish non-functional requirements (NFRs) for latency, throughput, availability, and scalability. Design performance-first architectures for cloud-native and hybrid environments. Lead capacity planning, traffic modeling, and peak-load forecasting. Performance Engineering & Testing: Architect and govern load, stress, endurance, spike, and chaos testing frameworks. Design reusable performance test harnesses for microservices, event-driven, and streaming systems. Identify system bottlenecks across compute, network, storage, and data layers. Drive shift-left performance testing within CI/CD pipelines. Cloud & Platform Optimization: Optimize systems in GCP using autoscaling, caching, and resource right-sizing. Architect performance strategies for Kubernetes, service mesh, and container orchestration. Optimize API gateways, message brokers (Kafka/Pub-Sub), and data platforms. Guide performance tuning for Databases, Data Lakes, and Streaming Platforms. Observability & Reliability: Observability standards using OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch. Correlate performance metrics with business KPIs and customer experience. Partner with SRE teams on SLIs, SLOs, and error budgets. Lead performance triage during major incidents and IROPs. Leadership & Stakeholder Engagement: Act as architectural authority for performance decisions across programs. Collaborate with product, operations, and executive stakeholders. Provide performance sign-off for major releases and transformations. Technical Skills: Performance engineering tools: JMeter, Appscan, Dynatrace, Gatling, k6. Cloud platforms: AWS, Azure, GCP. Containerization & orchestration: Docker, Kubernetes, Istio/Linkerd. Observability: OpenTelemetry, Prometheus, Grafana, ELK. Messaging & streaming: Kafka, Pub-Sub, Event Hubs. Data platforms: Relational, NoSQL, Data Lakes, Distributed Caches. Programming/scripting: Java, Python, JavaScript, Shell.

K&K Talent is an International recruiting agency that has been providing technical resources in the USA region since 1993. This position is with one of our clients in The USA, who is actively hiring candidates to expand their teams. Role: SAS Architect/Manager Employment type: Full Time/Permanent Role Technology: SAS to PySpark migration, ETL, Azure Job Description:- Required Skills & Experience: Define end-to-end architecture for SAS to PySpark migration. Proven experience in data migration projects, specifically migrating from SAS to PySpark Proficiency in SAS, Spark, and Python programming languages Strong understanding of data integration, ETL, and data warehousing concepts Familiarity with cloud platforms Azure Support UAT and production deployment planning. Strong communication and collaboration skills

Job Title - Reltio MDM Technical Architect Type - Contract Work Mode - Onsite Hybrid Interview Mode - Video Job description We are seeking a skilled Technical Architect with deep expertise in Reltio MDM to design and implement enterprise grade Master Data Management solutions The ideal candidate will have hands on experience with SAP Salesforce Snowflake and exposure to AIML in data workflows Key Responsibilities Architect and implement scalable Reltio MDM solutions across enterprise platforms Design integrations with SAP Salesforce Snowflake and other systems Configure entity models survivorship rules matchmerge logic and workflows in Reltio Collaborate with data scientists to embed AIML capabilities eg intelligent matching Define and enforce data governance and stewardship standards Mentor MDM developers and analysts Translate business data requirements into technical solutions Required Skills Strong handson experience with Reltio MDM data modeling configuration API integration Deep understanding of MDM concepts matchmerge survivorship hierarchy management Integration experience with SAP Salesforce Snowflake Proficiency in REST APIs JSON XML and data transformation tools Exposure to AIML use cases in data management Strong analytical and communication skills Added Advantage Experience with other MDM platforms such as Informatica MDM and Stibo Systems MDM Preferred Qualifications Bachelors or Masters in Computer Science Data Engineering or related field Reltio MDM certification preferred Experience with cloud platforms AWS Azure GCP Familiarity with data governance tools eg Collibra Informatica Agile project delivery experience Reltio MDM Senior Technical Architect Department Data Engineering MDM Center of Excellence CoE Reports To MDM Senior Project Manager Business Domains Healthcare Insurance Manufacturing Skills Mandatory Skills : Reltio MDM

We are looking for a skilled Data Architect to lead the design, assessment, and evolution of our data architecture with a strong focus on E-commerce application development, customer data profile capture, and advanced data modeling. This role will focus on evaluating our current analytics environment, defining measurement frameworks, identifying gaps, and developing strategic roadmaps to enhance data quality, governance, and customer-centric insights. The ideal candidate will have deep expertise in E-commerce platforms, AWS data services, customer data integration, and collaboration across technical and business teams to drive scalable, secure, and high-performance data solutions. Key Responsibilities Design a scalable data architecture capable of handling high-velocity data streams and batch processing with precision and efficiency, specifically tailored for E-commerce environments. Build and maintain reusable frameworks for data ingestion, transformation, and enrichment, with a focus on capturing and modeling customer profiles and behavioral data. Real-Time & Batch Data Processing Architect and implement real-time streaming pipelines to capture customer event Integrate batch data from surveys, delivery partners, CRM systems, and external data feeds to enrich customer profiles. Current State Assessment: Thoroughly document the existing analytics and E-commerce data environment, including data sources, tools, integrations, and data flows to establish a comprehensive baseline. Measurement Framework: Define clear and consistent measurement methodologies for key E-commerce and customer analytics terms to ensure data accuracy, consistency, and comparability across the organization. Gap Analysis: Identify weaknesses and opportunities for improvement in data architecture, tagging strategies, customer data capture, and governance practices. Strategic Roadmap Development: Create a practical, actionable roadmap prioritizing initiatives that enhance data quality, streamline processes, improve customer data modeling, and support data-driven decision-making. Data Architecture Design and Implementation: Design and implement robust data architectures using AWS data services tailored to business and technical requirements, with emphasis on customer-centric data models. Storage Solutions: Architect scalable storage solutions to accommodate diverse E-commerce data types, including customer profiles, transaction histories, and product catalogs, with appropriate retention policies. Database Management: Develop and manage both SQL and NoSQL database solutions to support various application needs, including customer data management and personalization engines. Big Data Analytics Platforms: Build and optimize platforms for real-time and batch data processing to enable advanced analytics capabilities such as customer segmentation, recommendation systems, and predictive modeling. Data Visualization: Create interactive dashboards and visualizations that empower stakeholders with actionable insights into customer behavior, sales trends, and operational metrics. Data Processing and Integration: Design and automate ETL workflows and data integration pipelines to ensure efficient data movement and transformation, focusing on integrating customer data from multiple touchpoints. Data Migration: Lead initiatives to migrate on-premises or legacy E-commerce and customer data systems to AWS cloud environments using best practices and AWS migration tools. Collaboration: Work closely with data engineers, analysts, product managers, and business stakeholders to align data architecture with organizational goals, customer experience strategies, and compliance requirements. Governance and Security: Establish frameworks for data governance, security, and performance monitoring across all data services, ensuring customer data privacy and regulatory compliance. Technical Leadership: Provide clear technical direction to development teams, ensuring platform scalability, reliability, and performance in support of E-commerce applications. Architectural Governance: Contribute to architectural governance processes, conduct solution reviews, and define KPIs to measure technical delivery and operational maturity. Required Skills and Experience Proven experience in assessing and documenting complex analytics environments, especially within E-commerce contexts. Strong background in defining measurement frameworks and conducting gap analyses focused on customer data and E-commerce metrics. Expertise in designing scalable data architectures using AWS services (e.g., S3, Redshift, DynamoDB, EMR, Glue) with emphasis on customer data modeling. Experience with SQL and NoSQL database design and management supporting customer profiles and transactional data. Proficiency in building big data platforms for real-time and batch processing tailored to E-commerce analytics. Skilled in data visualization tools and techniques to represent customer insights and business KPIs. Hands-on experience with data migration to AWS cloud, including customer and transactional data. Strong understanding of data governance, security, and compliance frameworks, particularly related to customer data privacy (e.g., GDPR, CCPA). Excellent collaboration and communication skills with cross-functional teams including product, marketing, and engineering. Ability to provide technical leadership and guide development teams in E-commerce data solutions. Experience with architectural governance and defining operational KPIs. Preferred Qualifications AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data Specialty). Familiarity with workflow orchestration tools like Apache Airflow or AWS MWAA. Knowledge of scripting languages such as Python and SQL for automation and data manipulation. Experience with customer data platforms (CDPs), CRM integration, or personalization engines is a plus.