Key Responsibilities
- Design and own end-to-end, scalable enterprise data architectures, including Data Lake, Data Mesh, and Medallion (Bronze/Silver/Gold) architectures
- Align data architecture decisions with long-term business goals and AI strategy
- Select, evaluate, and standardize the enterprise data technology stack
- Ensure the data layer is AI-ready and fit for enterprise AI consumption
- Actively participate in AI initiatives and cloud-native data services
Requirements
- Proficiency in cloud-native data services and platforms like Snowflake and Databricks
- Strong expertise in GCP, BigQuery, SQL, Python, PySpark, and ETL processes
- Experience with designing scalable data architectures and data governance frameworks
- Ability to collaborate with cross-functional teams to deliver high-impact data solutions