> Markdown version of [/jobs/ext/2421666-senior-enterprise-data-architect](https://www.wearedevelopers.com/jobs/ext/2421666-senior-enterprise-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Enterprise Data Architect - **Company:** WorkNovas LLC - **Location:** Auburn Hills, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Applications Architecture, Data Architecture, Data Integration, Data Mart, Data Migration, Data Systems, Data Warehousing, Database Development, Database Queries, Programming Tools, Dimensional Modeling, Oracle Essbase, IBM InfoSphere (ETL Tools), Metadata, Online Analytical Processing, Operational Data Store, Online Transaction Processing, SAS (Software), Software Engineering, Technical Data Management Systems, Enterprise Data Management, Oracle Hyperion, Snowflake, Sap Business Objects, Build Management, Information Technology, Qlikview, Data Management - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/jobad/usa5001f43c9daf8742f1127951e10c060 ## About the Role Skills: Enterprise Data Architecture, MDM (IBM InfoSphere or Informatica MDM), DW, EDW, Data Marts, Operational Data Store (ODS) architectures, Data Modelling, Snowflake, OLAP, OLTP, Data modeling, Design, development, Data Migration, and Data Integration, SAP BusinessObjects, QlikView, SAS, Oracle Hyperion Essbase, Business Intelligence reporting The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General * Must be self-motivated and able to work independently while consistently meeting deadlines. * Strong business and technical verbal and written communication skills. * Experience creating metrics and dashboard analytics. * Strong working knowledge of different analysis tools and techniques. * Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. * Strong SQL skills., Technical Experience: "Business Intelligence and Data Management * 7+ years of IT experience architecting solutions using Business Intelligence reporting and development tools such as: * SAP BusinessObjects * QlikView * SAS * Oracle Hyperion Essbase * 7+ years of experience with: * Application Architecture * Data Warehousing * Master Data Management (IBM InfoSphere or Informatica MDM) * Experience with data modeling. ## Description Functions Performed This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position. General Functions/Responsibilities * Architect and design business intelligence solutions for accessing and analyzing data and metadata. * Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures. * Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques. * Experience architecting and developing database solutions using both OLAP and OLTP technologies. * Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC). * Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates. * Develop and maintain technical documentation. * Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.", We're building an AI-enabled supply chain that senses, predicts, prescribes, and acts. 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