The Manager, Data Engineering leads the Data Engineering team and delivers the enterprise data platform roadmap by translating architecture direction into sequenced execution plans, team backlogs, and measurable outcomes. The role is responsible for hiring and onboarding, setting expectations, conducting performance reviews, coaching team members, and building a culture of maintainable, organized, repeatable engineering. It oversees daily execution, sprint planning, delegation, delivery quality, and team performance and cohesion. The manager drives implementation of the Medallion architecture (Bronze, Silver, and Gold), using technologies including Boomi, Rivery, dbt, Azure Databricks, Delta tables, and SQL Server. In partnership with the Data Architect, the role develops implementation patterns, reference pipelines, and guardrails. It establishes DataOps practices such as CI/CD, branching and release patterns, code reviews, runbooks, operational readiness, pipeline monitoring, and predictable incident response. The position also partners with business stakeholders to clarify and scope intake, reduce ad-hoc work, and align delivery with platform strategy. It mentors team members and develops future leaders and succession plans, supports company values, and may participate in other strategic or cross-functional initiatives. This is a fully remote role in a home-office setting, with periodic travel of up to approximately 10%. Skillable can hire only candidates whose primary residence is in one of the states listed in the posting.
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Job Type
Full-time
Career Level
Manager