Qualifications

• 5-8+ years of experience building and operating production-grade data pipelines, platforms, and distributed data systems

• 2+ years of experience leading, mentoring, or managing data engineers in a tech lead, staff-level project lead, engineering manager, or TLM capacity

• Strong hands-on experience with industry-standard tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI

• Deep understanding of OLTP and OLAP systems, including the ability to design architectures that support transactional, analytical, and operational workloads

• Experience building flexible data pipelines across many source and destination types, including databases, APIs, files, queues, event streams, SaaS platforms, and internal systems

• Strong experience with both batch and real-time processing patterns, including tradeoffs in latency, reliability, cost, and operational complexity

• Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure

• Advanced SQL and data modeling expertise, including schema design, warehouse optimization, semantic modeling, and performance tuning

• Strong programming ability in languages commonly used in data engineering, such as Python, Java, Scala, Go, or similar

• Comfort with CI/CD, infrastructure-as-code, automated testing, observability, incident response, and production operations for data systems

• Strong architectural judgment in ambiguous environments where systems must balance speed, reliability, compliance, maintainability, and long-term leverage

• Clear communication skills with both technical and non-technical teammates, including the ability to explain tradeoffs and influence direction

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