Principal Engineer, Data Infrastructure
Tasks
- Apply AI for data workflow automation
- Architect lakehouse data patterns
- Author ADRs and RFCs
- Build stream-processing systems
- Contribute and review high quality code
- Define data contracts and schema governance
- Define data freshness availability correctness SLOs
- Design and implement event ingestion CDC
- Develop batch orchestration workflows
- Drive data governance and access controls
- Implement data catalog lineage
- Implement semantic catalog search
- Improve data quality anomaly detection
- Integrate data abstractions for analytics and ML
- Lead through architecture and design docs
- Mentor engineers through pairing
- Own data platform technical direction
- Partner on FinOps unit economics guardrails
- Profile tune and right size data systems
- Run readiness reviews and incident response
- Standardize connectors and templates
- Support SQL and pipeline generation
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Airflow | Apache Beam | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Batch orchestration | CDC | Dagster | Data Catalog | Data Governance | Data Lakehouse | Data Lineage | Data Quality | Delta Lake | FinOps | Generative AI | Google BigQuery | Google Pubsub | Incident Response | ML | Object storage | SLOs | SQL | Snowflake | Streaming processing
Education
N/A
Regions
Countries
States
Cities
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