Senior Data Engineering Consultant - Databricks, snowflake, Azure
Optum (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 25–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and direct architectural decisions and engineering standards for cloud data platform using Databricks and Snowflake, including Delta Lake design and pipeline patterns.
- Lead and stabilize Apollo's cloud migration and facilitate its expansion across multiple Optum regional units from a data architecture perspective.
- Mentor and lead data engineers, serve as technical escalation point, and represent data engineering in cross-functional leadership discussions.
Minimum Requirements
- Graduate degree or equivalent experience.
- Expert-level production experience with Databricks and solid production experience with Snowflake including schema design and performance optimization.
- Deep cloud platform experience, preferably Azure, covering storage, compute, networking, and security for data platforms.
- Experience as a technical lead with proven ability to set standards, conduct architecture reviews, and mentor engineers.
Ideal Candidate Profile
- Experienced in managing and evolving medallion-architecture (Bronze/Silver/Gold) pipelines end-to-end in production environments.
- Comfortable operating as the technical liaison in cross-functional settings and influencing non-engineering leadership.
- Familiarity with regulated or compliance-sensitive data environments, especially healthcare data, and pragmatic about balancing technical debt and migration risk.