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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform / Data Warehouse Architect - **Company:** iMINDS Technology Systems Inc - **Location:** Lansing, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Architectural Patterns, Business Intelligence Development, Cloud Computing, Information Systems, Computer Programming, Data as a Services, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Profiling, Data Security, Data Warehousing, Federal Enterprise Architecture, R (Programming Language), Industry Standard Architecture, Python (Programming Language), Meta-Data Management, NoSQL, Operational Data Store, Power BI, Cloud Services, SQL Databases, Tableau (Software), Enterprise Data Management, Data Strategy, Togaf, Data Lakes, Information Technology, Data Analytics, Performance Monitor, Machine Learning Operations, DODAF, Databricks, Programming Languages - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/76613353-bd85-4a32-8fa4-48c07b3529b3 ## About the Role 1. Minimum 5 years experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy. 2. Minimum of 5 years experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise. 3. Minimum of 3 years experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc. 4. Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree Most Preferred Skills -Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks, 1. Enterprise Data Architecture: 5+ years in Data Platform/Data Warehouse Architecture, Enterprise Data Strategy, Target-State Architecture, and TOGAF/FEAF/DoDAF. 2. Modern Data & Cloud Technologies: Strong experience with Enterprise Data Platform (EDP), Databricks, Data Lake, Delta Lake, Data Warehousing, Data Marts, ODS, NoSQL, GraphDB, and cloud platforms. 3. Programming & Analytics: Proficiency in SQL, Python, R, Java, plus Power BI and Tableau; experience architecting Data/Analytics/ML pipelines and products. 4. Governance, Security & Data Products: Experience with Data Governance, Data Quality, Metadata Management, Data Security, Compliance, and architecting Data Services/Data Products. 5. Innovation & Enterprise Delivery: Experience leading POCs/Codathons, vendor co-development, RFI/RFP & Cloud Service Provider selection, and implementing enterprise data platform modernization, including ETL, data profiling, performance monitoring, reporting, and analytics. ## Description Key Programming Languages: SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI, Tableau ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)