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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Architect - **Company:** C4 Technical Services - **Location:** United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Information Systems, Data Architecture, Data Governance, Dataspaces, Data Warehousing, Dimensional Modeling, Graph Database, Data Intelligence, Interoperability, Metadata, Meta-Data Management, Enterprise Data Management, Data Ingestion, Data Layers, Data Lakes, Information Technology, Data Analytics, Operational Systems, Data Management, Physical Data Models, Service Stack - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8722a79c31f9b1b8 ## About the Role * 7 Years of Data Architecture Experience * AWS, Data warehousing, Data Lakes, ect. * Local Only, Twin Cities. Hybrid Experience Level: 7+ years of demonstrated experience building enterprise data architecture and governance initiatives. Core Domains: AWS. Data warehousing, data lakes, data modeling, data governance, metadata, lineage, and semantic layers. Strategic Emphasis: Business-aligned semantic models, governed data products, AI-ready data foundations, and reusable enterprise data capabilities. Technology Posture: Technology stack is less important than demonstrated architecture judgment, governance leadership, and enterprise semantic modeling experience. -, capabilities across the organization. The ideal candidate combines deep expertise in data warehousing, data lakes, data modeling, data governance, and semantic layer design with a strategic mindset for building enterprise-wide data programs. Technology stack experience is helpful, but this role emphasizes architecture principles, governance practices, and semantic modeling expertise over specific platforms or vendors. Experience Level: 7+ years of demonstrated experience building enterprise data architecture and governance initiatives. Core Domains: Data warehousing, data lakes, data modeling, data governance, metadata, lineage, and semantic layers. Strategic Emphasis: Business-aligned semantic models, governed data products, AI-ready data foundations, and reusable enterprise data capabilities. Technology Posture: Technology stack is less important than demonstrated architecture judgment, governance leadership, and enterprise semantic modeling experience., * Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field; equivalent practical experience may be considered. * 7+ years of demonstrated experience leading enterprise data architecture and governance initiatives. * Extensive experience designing and implementing enterprise data warehouses, data lakes, analytical platforms, enterprise data models, semantic layers, and data governance programs. ## Description * 7 Years of Data Architecture Experience * AWS, Data warehousing, Data Lakes, ect., We are seeking a highly experienced Senior Data Architect to lead the design, governance, and evolution of our enterprise data architecture. This role will establish and maintain scalable, business-aligned data ecosystems that enable analytics, reporting, AI-driven insights, and autonomous decision-making, Enterprise Data Architecture * Define and maintain the enterprise data architecture strategy, roadmap, standards, and reference architectures. * Design scalable data ecosystems spanning operational systems, data warehouses, data lakes, analytical platforms, and AI-enabled data products. * Establish architecture patterns that promote consistency, data quality, reusability, interoperability, and technical sustainability across domains. * Drive architectural decisions that balance business needs, governance requirements, scalability, and long-term maintainability. Data Warehousing & Data Lakes * Design and oversee enterprise data warehouse and data lake architectures. * Develop strategies for data ingestion, integration, transformation, storage, and consumption. * Define best practices for historical data management, dimensional modeling, analytical data structures, and governed data consumption. Data Modeling & Semantic Layers * Lead the development and governance of conceptual, logical, and physical data models. * Define enterprise-wide business vocabularies, canonical data models, and domain-aligned information structures. * Design, implement, and maintain semantic layers that provide consistent business definitions, metrics, entities, and relationships across reporting, analytics, AI, and operational systems. * Partner with business stakeholders to align semantic models with business processes, KPIs, and decision-making workflows. * Evangelize semantic-first architecture approaches that improve data discoverability, trust, self-service analytics, AI grounding, and operational consistency. Data Governance & Data Management * Establish and drive enterprise data governance frameworks, policies, standards, and stewardship practices. * Define ownership models, metadata management strategies, and data lifecycle controls. * Implement governance practices for data quality, lineage, cataloging, classification, privacy, compliance, and retention. AI, Knowledge Graphs & Autonomous Workflows * Collaborate with AI, analytics, and platform teams to ensure data architectures support AI-ready enterprise capabilities. * Define semantic foundations that enable knowledge graphs, enterprise context models, intelligent data discovery, and governed AI consumption. * Evaluate and design architectures supporting AI agents, autonomous workflows, retrieval-augmented systems, and machine-assisted decision-making. Leadership & Collaboration * Serve as a senior advisor to architecture, engineering, analytics, product, and business leadership teams. * Mentor architects, engineers, analysts, and governance stakeholders on data architecture and semantic modeling best practices. * Facilitate cross-functional alignment on enterprise data standards, governance initiatives, and semantic layer adoption. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## 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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)