Sr Software Engineer II
Nielsen Sports · Mumbai · onsite · Posted 26d ago
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Job Description
Strategic Mandate
As the Data Platform Lead, you are the technical owner and steward of Nielsens Databricks Lakehouse for Corporate function. You will drive the strategy, architecture, and operational maturity of our Databricks ecosystem end to end - from workspace and Unity Catalog design to cost governance and platform reliability. This role sits at the intersection of platform engineering and data governance: you will define the guardrails, standards, and reusable patterns that let every engineering and analytics team build confidently on a secure, scalable, and cost-efficient foundation. You will act as the "Platform Authority" for Databricks, ensuring the lakehouse scales with the business while remaining governed, observable, and audit-ready. Critically, you will build an AI-driven data platform - architecting AI-native capabilities (feature stores, vector search, GenAI-ready pipelines) directly into the platform, while also using AI-assisted and agentic engineering practices to build, manage, and scale the platform itself faster and more reliably Qualifications
Core Goals Responsibilities
- Lakehouse Platform Ownership: Own the end-to-end architecture of the Databricks Lakehouse, including workspace topology, cluster policies, compute strategy (job clusters, SQL warehouses, serverless), and multi-cloud deployment patterns (AWS/Azure/GCP).
- Unity Catalog Governance: Design and enforce the global data governance model - catalogs, schemas, access controls, lineage, and audit logging - via Unity Catalog, ensuring consistent metadata management and fine-grained access across business units.
- Data Engineering Standards: Define and enforce best practices for Delta Lake table design, Delta Live Tables (DLT) pipelines, medallion architecture (bronze/silver/gold), and performance optimization (Z-ordering, liquid clustering, partitioning, file compaction).
- Platform Reliability Automation: Partner with CloudOps and DevOps to industrialize the platform through Infrastructure-as-Code (Terraform/Databricks Asset Bundles), CI/CD pipelines, and monitoring, targeting 99.99% platform availability.
- FinOps Cost Governance: Own cost transparency and optimization across the Databricks estate - cluster right-sizing, workload isolation, chargeback/showback models, and proactive budget alerting - bringing "Strategic Foresight" to cloud spend.
- Cross-Functional Enablement: Work directly with Data Engineering, Analytics, Data Science, and business stakeholders (Finance, HR, Product) to translate requirements into platform capabilities and self-service patterns.
- Governed AI Enablement: Own the governed rollout of AI use cases and native AI features (eg, Databricks Genie, AI/BI Dashboards, Mosaic AI) on the platform. You hold the keys to unlocking GenAI and natural-language analytics for the business, safely, within Unity Catalogs governance and access-control boundaries.
- Community Mentorship: Build and lead a community of practice for Databricks developers across the organization - publishing standards, running enablement sessions, and unblocking delivery friction for engineering teams
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationDevopsCloud DeploymentCI/CD Pipelinesclusteringgoogle cloud platformamazon web servicesFinOpslakehouseAnalyticsDelta Live TablesdeploymentCloudOpsDatabricksData EngineeringcloudArchitectureData GovernanceMicrosoft AzurefinanceData ScienceArtificial Intelligence
About Nielsen Sports

Nielsen Sports
Sports & Recreation
10000-50000
employees
2004
22 years old
Bangalore,Karnataka
India
About
Nielsen Sports is uniquely positioned to help businesses maximize their commercial success by combining solutions from sponsorship effectiveness to fan data capabilities.
Industries
Sports & RecreationFood ProcessingInternet
Employee ratings
222 reviews
3.8/ 5
Culture
3.7
Career growth
3.0
Work-life
4.0
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