Senior Data Architect

📋 Description Define and own the enterprise data architecture strategy across core domains. Govern data standards, naming conventions, schema design, and modeling practices. Lead scalable data products in semantic/analytical layers for self-service. Partner with Product Data to align on standards, data contracts, and platform decisions. Evaluate data platforms: warehouses, lakehouses, orchestration, catalogs. Identify architectural gaps and data quality risks across the estate. 🎯 Requirements 5+ years in data architecture or related discipline. Experience governing enterprise data models across transactional, analytical, semantic layers. Deep expertise in modern data stacks: Snowflake, BigQuery, Databricks, lakehouse, dbt. Strong data modeling: dimensional modeling, Data Vault, OBT. Experience leading data governance programs incl. metadata, lineage, quality. Able to translate architectural decisions into business value with stakeholders. 🎁 Benefits Experience in a company with centralized data functions. Familiarity with semantic layer tools (Cube, LookML) and headless BI. Background in data mesh, data product, or federated governance. Experience with real-time streaming data architectures (Kafka, Flink).