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.
Core Competencies
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.
Requirements
- 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.