Data Architect / Information Architect Location: Remote Duration: Long-Term Contract Job Summary We are seeking an experienced Data Architect / Information Architect to lead enterprise-wide data architecture initiatives and drive data governance, modeling, and quality strategies. This role will partner with business stakeholders, IT leadership, and project teams to design scalable data solutions, establish architectural standards, and ensure alignment with enterprise data governance objectives. The ideal candidate brings deep expertise in data modeling, data architecture, cloud-based data platforms (GCP), and Master Data Management (MDM).

Key Responsibilities

Define and implement enterprise data architecture strategies, standards, roadmaps, and governance frameworks. Translate business requirements into conceptual, logical, and physical data models. Design and maintain data models across OLTP systems, data warehouses, and data marts. Lead architecture reviews and ensure compliance with established data standards and best practices. Drive data governance, data quality, and master data management initiatives. Collaborate with business and technology leaders to align data strategies with organizational goals. Evaluate emerging technologies, AI-driven data engineering solutions, and architecture tools. Provide strategic guidance on portfolio planning, prioritization, and technology investments. Facilitate architecture workshops and gain consensus among cross-functional stakeholders. Required Qualifications 10+ years of IT experience with at least 5+ years in Data Architecture, Information Architecture, Data Engineering, or Database Design. 4+ years of hands-on experience with data modeling tools (e.g., PowerDesigner, ERwin). Strong expertise in data modeling, data warehousing, data governance, and data management. Experience designing and implementing enterprise data quality initiatives. Knowledge of Master Data Management (MDM) concepts, frameworks, and tools. Hands-on experience with Google Cloud Platform (GCP) including: BigQuery AlloyDB PostgreSQL Dataflow Cloud Run MongoDB Understanding of AI applications in data engineering and data modeling. Bachelor's degree in Computer Science, Information Systems, or related field.

Preferred Qualifications

Enterprise Architecture experience. Knowledge of TOGAF, DAMA, and data architecture frameworks. Experience with PLM platforms such as Siemens Teamcenter or Dassault 3DEXPERIENCE. Experience with .NET Core applications and integrations. Strong understanding of interoperability standards and data integration methodologies. Industry experience in Automotive or Manufacturing environments. Relevant certifications in Data Governance, MDM, Cloud Technologies, or Enterprise Architecture. Proven ability to influence senior leadership and manage multiple strategic initiatives simultaneously. Required Skills Data Architecture | Data Modeling | Data Governance | Data Quality | Data Warehousing | Master Data Management (MDM) | GCP (BigQuery, AlloyDB, Dataflow, Cloud Run) | PostgreSQL | MongoDB | Enterprise Architecture | TOGAF | DAMA | AI in Data Engineering

Nice-to-Have

Skills PLM (Teamcenter, 3DEXPERIENCE) | .NET Core | Automotive/Manufacturing Domain | MDM Certifications | Data Governance Certifications