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aws sql kubernetes airflow kafkaπ Description
- Lead and grow teams building data infrastructure at scale.
- Partner with People and Tech leaders to set team roadmap.
- Foster 80/20 thinking, quality-focused execution, timely decisions.
- Build relationships with cross-functional partners to align tech with business goals.
- Help team navigate ambiguity while maintaining momentum toward outcomes.
- Lead teams processing petabytes of data across millions of users.
π― Requirements
- 2+ years in engineering leadership; 7+ years in software eng.
- Strong people management: hiring, performance, coaching, conflict resolution.
- Proven ability to set pace, remove blockers, deliver projects.
- Excellent cross-level communication across audiences.
- Experience with data ecosystem: pipelines, ETL, modeling, warehousing.
- Experience with Kafka, Spark, Flink, Airflow, Dagster, SQL.
- Cloud infra or containerization: AWS, GCP, Azure or Docker/Kubernetes.
- Bonus: OSS data projects; high-performing teams; build-vs-buy successes.
π Benefits
- Relocation assistance may be available.
- Equity and benefits package.
π Relocation support
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