[C3T] Corporate Data Architect
Core
Design and standardize enterprise-wide data architecture to ensure consistency for analytics, AI, and system integrations.
Role type
Corporate Data Architect
Builds
Enterprise data models, reference architectures, and data governance frameworks
Domain
Technology / Data Engineering / Cloud
Deliverable
production ML models
Required skills
Data modeling (conceptual, logical, physical), ER/UML/IDEF1X/Data Vault, SQL, relational data models, cloud data architecture (AWS), data catalog and metadata management tools, data integration and lineage design
Preferred skills
Data Governance, Data Quality, Master Data Management, semantic data layer (ontologies, RDF, OWL, GraphQL, dbt Semantic Layer), Python for automation, event-driven architecture
Technologies
AWS, DataHub, Collibra, Alation, Atlan, dbt, GraphQL, Python
Responsibilities
Design semantic, logical, and conceptual data models; define and standardize the corporate data model; create and maintain reference architectures; co-create data architecture strategy and roadmap; collaborate with engineering and analytics teams to translate business needs; monitor compliance with Data Governance policies; create architectural documentation and metamodels
Seniority
Senior, hands-on IC