Role OverviewThe Data Engineering Manager will lead the design, delivery, and operational excellence of large-scale batch and real-time data platforms. This role requires expertise in modern data architectures and distributed systems.
What You Will Do
The Data Engineering Manager will oversee high-performance data engineering teams that power analytics, APIs, AI workflows, and mission-critical data services across the organization.
Why It Might Be a Fit
The ideal candidate will have proven experience leading high-performing engineering teams, expertise in modern data architectures, and a strong foundation in distributed systems engineering and cloud-native architecture.
Requirements
- Strong expertise in data lakes, warehouses, and lakehouse architectures
- Deep understanding of ETL/ELT frameworks, orchestration platforms, and distributed data processing systems
- Solid understanding of Kafka-based architectures and event-driven data patterns
- Proven experience hiring, onboarding, and retaining high-performing engineers across varying seniority levels
- Commitment to building an inclusive, collaborative, and accountable team culture
- Strong sprint planning, capacity modeling, and roadmap sequencing skills
- Ability to manage competing priorities across reliability, feature delivery, and technical debt reduction
- Experience establishing engineering KPIs such as reliability, latency, throughput, and deployment frequency
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
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