GCP Data Platform Architect

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Define the target-state architecture covering data ingestion, raw/archive storage, BigQuery-curated layers, semantic layer, BI consumption, AI/ML services, governance plane, and operational controls.

• Create architecture patterns for batch, streaming, event-driven, API-based, file-based, third-party, and unstructured data onboarding.

• Drive solution design for medallion architecture, data products, domain-aligned ownership, enterprise bus matrix, conformed dimensions, certified facts, semantic assets, and graph/ontology support.

• Define reference architectures for metadata, lineage, cataloging, privacy classification, data quality, observability, CI/CD, and continuous compliance validation.