Senior / Staff Engineer, Data Platform
Tasks
- Build data warehouse and lakehouse
- Build ingestion pipelines
- Build low latency data access systems
- Contribute to SLO definitions
- Contribute to migrations with minimal downstream disruption
- Develop data transformation pipelines
- Enable data discoverability and documentation standards
- Enforce data quality testing
- Implement caching and materialization
- Implement data quality monitoring and anomaly detection
- Implement orchestration and dependency management
- Implement schema evolution
- Implement storage partitioning and access patterns
- Integrate platform components and tooling
- Maintain data catalog and metadata systems
- Maintain data contracts and lineage
- Mentor teammates
- Operate data platform systems
- Optimize compute and costs
- Participate in design reviews and architecture discussions
- Respond to data incidents and postmortems
- Support data SLAs for freshness consistency and query performance
Perks/Benefits
Skills/Tech-stack
APIs | Anomaly Detection | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Batch Processing | Caching | DBT | Data Cataloging | Data Contracts | Data Ingestion | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Transformation | Data Warehouse | Distributed Systems | Go | Lakehouse | Materialization | Metadata Management | Orchestration | Python | SLAs | SLOs | Scala | Schema evolution | Streaming systems
Education
N/A
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