Senior Manager, Data Engineering
Nielsen (company site, opens in a new tab)10+ yrsBengaluruHybridDirect career pageEst. 30–55 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and grow the engineering teams for Nielsen's Databricks-based data and AI platform, directly managing Data Platform and AI/Data Engineering teams.
- Translate executive strategy into a unified roadmap integrating GenAI, data engineering, platform governance, and FinOps, ensuring coordinated delivery and risk management.
- Own people leadership, delivery accountability, budget and FinOps stewardship, and serve as the primary escalation and executive stakeholder contact for the combined Databricks programs.
Minimum Requirements
- 10+ years in data/software engineering with at least 3 years managing senior engineering leads or managers in delivering large-scale data/AI platforms.
- Strong working knowledge of Databricks ecosystem: Unity Catalog, Delta Lake, Delta Live Tables, Workflows, SQL with ability to evaluate architecture and coach leads.
- Working understanding of GenAI application patterns including LangChain, vector databases, and governed AI enablement.
- Work Experience Required: 10+ years in data/software engineering; specific notice period not mentioned.
Ideal Candidate Profile
- Experienced leader capable of managing multiple specialized engineering teams and unifying diverse technical domains into a single strategic roadmap.
- Strategic thinker with skills in program management, cross-team dependency resolution, FinOps, and executive stakeholder communication.
- Technologically curious professional who proactively evaluates emerging AI and Databricks technologies to drive pragmatic adoption aligning with business priorities.