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Job Description
Structured overview of role & requirementsAbout This Role
Own the DataOps strategy and operational roadmap ensuring pipeline reliability, incident management, and continuous delivery across enterprise data platforms.
Lead and manage a team of data engineers through the full Build + Run + Support lifecycle, including enforcing standards, conducting code reviews, and driving operational excellence.
Collaborate with stakeholders to mitigate operational risks, improve data quality operations, and drive adoption of CI/CD and observability practices.
Minimum Requirements
Bachelor's degree in Computer Science, IT, Engineering, or related field; Master's preferred.
6+ years in data engineering with strong emphasis on data operations, platform reliability, and DataOps/DevOps practices.
Proven experience leading data engineering teams and managing delivery in fast-paced, cross-functional environments.
Strong technical skills including Python, SQL, automated testing frameworks (Great Expectations, dbt, pytest), CI/CD tools (Azure DevOps, GitHub Actions), cloud platforms (Azure preferred), pipeline orchestration, and monitoring frameworks.
Ideal Candidate Profile
Experienced leader in operationalizing enterprise-level data platforms with a focus on reducing pipeline failures and improving MTTR through systemic improvements.
Strong background in implementing DataOps and DevOps practices, data quality operations, and managing complex Agile/Kanban operational workflows.
Comfortable working cross-functionally with platform, cloud infrastructure, and security teams, and translating operational metrics into business impact.