Data, Information Architect

Responsibilities

• Provide consultation and data‑strategy support for IS initiatives.
• Run EA IS Data Strategy Office Hours and provide guidance on data challenges.
• Partners closely with the EDP team—understand their roadmap and share relevant updates with IS EA architects.
• Design and develop information/data models (enterprise, conceptual, logical, and physical) for Industrial Systems; manage and maintain models in a Power Designer repository.
• Map applications to the conceptual data model, business processes, and business capabilities.
• Support product‑team intake: translate use cases into data requirements and provide expert architecture guidance and designs.
• Lead discovery, onboarding, and analysis of sources into Industrial Systems Data Platform (ISDP); build deep understanding of the data landscape and enable integration of diverse sources into ISDP.
• Lead conceptual discussions to understand the data landscape; identify and evaluate candidate data sources; maintain data models and data dictionaries for identified source systems; and develop canonical domain models.
• Profile source‑system data; define data‑quality requirements, dimensions, and metrics; and guide monitoring, measurement, reporting, and issue remediation.
• Establish data‑architecture principles, standards, best practices, and guidelines for the data platform (catalog, lineage, observability, security, interoperability).
• Perform proof‑of‑concepts and guide product teams in designing and developing solutions using GCP data‑engineering technologies and tools.

Demonstrates expertise in Data Architecture and Engineering, with a strong focus on designing and implementing data models and strategies for Industrial Systems. Proficient in GCP technologies and data management principles, ensuring high-quality data integration and governance.

• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 8+ years overall IT experience.
• 5+ years of Data Architecture, Data Engineering, or advanced Database Design/Modeling experience in designing or implementing OLTP/RDBMS databases, Data Warehouse, Data Marts.
• Knowledge of Master Data Management concepts and tools
• Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens’ Teamcenter, Dassault’s 3D Experience)
• Knowledge of TOGAF, DAMA Architecture Framework and Standards
• Ability to define data architecture principles, guidelines and standards
• 4+ years of hands‑on experience creating data models using data modeling tools (e.g. Power Designer)
• 2+ years of experience in GCP technologies including Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow. Similar cloud experience may be acceptable.
• Understanding and knowledge of AI capabilities and modeling semantic layer for a data platform.