Tech Lead, Data Foundations

LINKEDIN

Sunnyvale, CA, United States
Base: 125,000 to 202,000; bonus/equity: annual per...
Hybrid (on-site and remote)
Data foundations strategy
Semantic and master data layers
Data quality, lineage, and controls
LinkedIn is seeking a Tech Lead for Data Foundations to architect and scale core data systems that support Finance reporting and automation. The ideal candidate will have extensive experience in data architecture, governance, and cross-functional leadership, and the role offers a hybrid work model

Job Summary

  • This role will architect and scale the core data foundations that enable trusted Finance reporting, automation, and operational decisioning.
  • You will define the data operating model, build durable semantic and master data layers, and ensure quality, lineage, and controls are embedded end-to-end.
  • We’re hiring a Data Foundations Lead to architect and scale the core data foundations that enable trusted Finance reporting, automation, and operational decisioning.

Matching Summary

Match Score: 85

LinkedIn is seeking a Tech Lead for Data Foundations to architect and scale core data systems that support Finance reporting and automation. The ideal candidate will have extensive experience in data architecture, governance, and cross-functional leadership, and the role offers a hybrid work model.

Salary

Base: 125,000 to 202,000; Bonus/Equity: annual performance bonus, stock, and/or other applicable incentive compensation plans; Benefits: applicable benefits

Skills & Requirements

Must-have

  • Data foundations strategy
  • Semantic and master data layers
  • Data quality, lineage, and controls
  • Cross-functional leadership
  • Finance data platforms

Nice-to-have

  • Executive-ready insights
  • Modern data stack tools
  • Trust, care, inclusion, and fun culture

Key Requirements

  • Bachelor’s degree in quantitative or technical field
  • 6+ years in data foundations, analytics engineering, data governance
  • 6+ years with advanced SQL and data modeling
  • Demonstrated data governance experience
  • Proven cross-functional leadership ability

Work Rights

Not specified

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