[C3I] Data Architect - Governance & Quality
Core
Design and standardize enterprise data architecture, governance models, and semantic layers to ensure data consistency for analytics, AI, and system integrations.
Role type
Senior Data Architect (Governance & Quality)
Builds
Enterprise data models, reference architectures, data quality frameworks, and semantic layers
Domain
Data Governance, Data Architecture, Cloud Data Platforms
Deliverable
production ML models
Required skills
Data modeling (conceptual/logical/physical), Data Governance, Data Quality, Metadata Management, SQL, Cloud data platforms (Snowflake/Databricks), Data catalogs (Collibra/Alation/DataHub), ER/IDEF1X/Data Vault methodologies
Preferred skills
Semantic layer technologies (RDF/OWL/GraphQL/dbt Semantic Layer), Python for automation, Event-driven architecture, Architectural documentation
Technologies
Snowflake, Databricks, Azure, AWS, GCP, Collibra, Alation, DataHub, Atlan, dbt, Python, GraphQL, RDF, OWL
Responsibilities
Design semantic, logical, and conceptual data models; Define corporate data models and governance standards; Create reference architectures and design patterns; Collaborate on data integration, lineage, and quality processes; Identify authoritative data sources; Monitor compliance with governance policies; Consult on modeling best practices; Partner in presales solution design and client presentations.
Seniority
Senior, hands-on IC