Careers
Data Platform Engineer
Full-time · Seattle, WA (on-site) · 10+ years
Design and operate enterprise data architecture on Databricks with Unity Catalog, Privacera, and Collibra. Build governed ETL pipelines, maintain data models, and operationalize ML in batch and real-time with compliance controls.
Responsibilities
- Design and implement data architecture using Databricks, Unity Catalog, Privacera, and Collibra
- Develop, optimize, and manage data pipelines for ETL processes on Databricks, ensuring data integrity and quality
- Design and maintain data models and schemas, incorporating Unity Catalog and Collibra governance practices
- Ensure data security and regulatory compliance using Databricks and Privacera features
- Establish and enforce data governance standards including metadata management, lineage, and data quality
- Operationalize Machine Learning models in batch and real-time data pipelines with governance controls
- Collaborate with cross-functional teams including data scientists, engineers, and analysts to deliver scalable data solutions
Requirements
- 10+ years data platform or data engineering experience
- Hands-on expertise with Databricks: ETL pipelines, Delta Lake, performance tuning
- Production experience with Unity Catalog for access control and data governance
- Privacera experience for data security, privacy, and regulatory compliance
- Collibra experience for metadata management, lineage, and data catalog operations
- Data modeling and schema design across batch and streaming workloads
- MLOps: operationalizing ML models in batch and real-time pipelines with governance controls
- Strong collaboration with data scientists, engineers, and analysts