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Senior Software Engineer II

The Nielsen Company
Maharashtra, IND
Full-time
Onsite
Discovered 1 months ago
Databricks LakehouseUnity CatalogDelta LakeDelta Live TablesDatabricks WorkflowsDatabricks SQL

Full Job Posting

Strategic Mandate

Serve as technical owner and steward of Nielsen’s corporate Databricks Lakehouse, driving strategy, architecture, and operational maturity.

Build a secure, scalable, cost-efficient, governed, observable, and audit-ready data platform.

Develop AI-native platform capabilities and use AI-assisted and agentic engineering practices to build and operate the platform.

Core Goals and Responsibilities

  • Own Lakehouse architecture, workspace topology, cluster policies, compute strategy, and multi-cloud deployment patterns across AWS, Azure, or GCP.
  • Design and enforce global governance for catalogs, schemas, access controls, lineage, and audit logging through Unity Catalog.
  • Set standards for Delta Lake, Delta Live Tables, medallion architecture, and performance optimization.
  • Partner with CloudOps and DevOps on infrastructure as code, CI/CD, and monitoring, with a target of 99.99% platform availability.
  • Own cost transparency and optimization, including cluster sizing, workload isolation, chargeback/showback, and budget alerts.
  • Translate stakeholder requirements into platform capabilities and self-service patterns.
  • Govern rollout of AI use cases and native AI features, including Databricks Genie, AI/BI Dashboards, and Mosaic AI, within access controls.
  • Lead a developer community of practice; publish standards, deliver enablement sessions, and remove delivery friction.

Experience and Expertise

  • 8–10+ years in data engineering, data platform architecture, or distributed systems, including 3+ years architecting and operating Databricks environments at scale.
  • Hands-on experience building, managing, running, and scaling production-grade Databricks data platforms end to end.
  • Experience with Unity Catalog, Delta Lake, Delta Live Tables, Databricks Workflows, Databricks SQL, and cluster/compute policy design.
  • Experience architecting feature stores, vector search/indexes, and GenAI-ready pipelines, and using AI-assisted or agentic engineering practices.
  • Deep hands-on Apache Spark expertise for batch and structured streaming, large-scale data processing, and performance tuning.

Technology and Platform Scope

  • Databricks, Unity Catalog, Delta Lake, Delta Live Tables, Databricks Workflows, Databricks SQL, and cluster/compute policies.
  • Terraform or Databricks Asset Bundles, CI/CD, monitoring, and multi-cloud deployment patterns across AWS, Azure, or GCP.
  • AI platform capabilities include feature stores, vector search, GenAI-ready pipelines, Databricks Genie, AI/BI Dashboards, and Mosaic AI.

About Nielsen

Nielsen provides audience engagement insights to support client decisions and operates in the media measurement and analytics sector.

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