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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location plus a generalist senior engineering title and known employer creates moderate applicant competition.
Strong Databricks lakehouse and governance emphasis requires highly domain-specific platform experience.
Extensive Databricks, Unity Catalog, Delta Lake, Terraform, governance and FinOps requirements enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end architecture and operational maturity of Nielsen's Databricks Lakehouse platform across multi-cloud environments.
Define and enforce global data governance using Unity Catalog for metadata, access control, lineage, and audit logging.
Drive platform reliability with 99.99% availability targets, cost governance, AI-native capabilities integration, and cross-functional enablement of analytics and data science teams.
Minimum Requirements
Strong technical ownership experience with Databricks Lakehouse or equivalent platform engineering.
Expertise in data governance concepts and Unity Catalog or similar tools for metadata and access control.
Experience with Infrastructure-as-Code (Terraform), CI/CD pipelines, and cloud cost management (FinOps).
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Experienced in managing multi-cloud data lakehouse platforms with focus on scalability, governance, and cost optimization.
Proven ability to architect AI-integrated data platforms with capability to enable governed AI and GenAI use cases.
Skilled in cross-team collaboration to translate business requirements into secure, scalable data platform solutions with high reliability targets.