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Required Skills • 10+ years in data engineering or data platform roles, including 5+ years in engineering management roles, currently or most recently managing managers. • Hands-on experience with modern lakehouse and streaming tooling (e.g., Databricks, Kafka, Kinesis, CDC pipelines, Airflow, Terraform) and able to contribute heavily to an architecture review with the team. • Background in high-volume, machine-generated data: telemetry, sensor, IoT, observability, or logs, rather than primarily 
San Francisco,..........United States Of America Posted labels are maintained by the listing system and do not independently confirm that a vacancy is still available. Verify with the employer before applying.
Based on the listing, this role has lower exposure to AI replacement within five years. Routine, rules-based digital tasks face automation risk; work requiring judgment, trust, physical presence, or accountability is less exposed. This is an estimate, not a guarantee.
Estimated from recurring task phrases in this listing; actual outcomes depend on the work, employer, and how AI is adopted.
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