Senior Manager, Data Platform Engineering
4 weeks ago
Key Responsibilities:
- Help define the strategic vision for key functionalities within our data platforms.
- Become a subject matter expert in data platform current and future architecture guidance, specifically in the "Data Lakehouse" that supports our customers in a data domain-centric ecosystem.
- Work closely with architecture and Platform Owners to define data platforms standards, guidelines, and recipes.
- Partner with architecture to design, test, and deliver critical functionality to support strategic enterprise goals, enhancing user experience, supporting line of business adoption, and meeting internal and external mandates.
- Leverage executive presence skills to influence senior business stakeholders and program leadership on roadmap prioritization decisions.
- Provide oversight and hold team members accountable for following all compliance, Change Management, and IT Security policies.
- Lead a team of lean DevOps engineers in an agile environment to deliver cutting-edge PaaS, IaaS, and IaC solutions that enable our customer base.
- Lead a team of DataOps support engineers that provide 24/7 support to all our data platforms as part of keeping the lights on for business use.
- Master's Degree in Computer Science or Technical field and Master's Degree in Technology and/or Business related field; equivalent trainings/certifications/experience will be considered.
- 8 or more years of equivalent experience in relevant job or field of technology.
- 5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.
- 5 or more years' experience directly responsible for leading and managing an agile engineering team.
- Postgraduate degree advanced training and/or certifications in relevant fields of study preferred.
- 5 or more years' experience in Agile teams and Product/Platform-based operating model.
- 5 or more years' experience in leading teams or advancing technical capability in teams.
- 2 to 5 years' experience in DevOps or Azure DevOps.
- 2 to 5 years' experience in Databricks and/or MongoDB.
- 2 to 5 years' experience in GitHub.
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