Sr. Manager Data Engineering - Horizon3 Labs

unilever.es

Base: $113,900-$156,600; bonus/equity: bonus eligi...
Data engineering and architecture solutions
Azure stack and databricks expertise
Stakeholder management in matrix organization
The Senior Manager, Data Engineering will lead a team responsible for delivering data and architecture solutions aligned with Unilever global standards and Horizon3 Labs innovation initiatives

Job Summary

  • The Senior Manager, Data Engineering will lead a team responsible for delivering data and architecture solutions aligned with Unilever global standards and Horizon3 Labs innovation initiatives.
  • This role involves close collaboration with global data and architecture teams, AI practitioners, and technology vendors to drive successful delivery of AI use cases and innovation projects.
  • Unilever offers a competitive compensation package including base salary, bonus eligibility, long-term incentives, and a comprehensive benefits plan covering health insurance, retirement savings, and paid leave.

Matching Summary

The Senior Manager, Data Engineering will lead a team responsible for delivering data and architecture solutions aligned with Unilever global standards and Horizon3 Labs innovation initiatives.

Salary

Base: $113,900-$156,600; Bonus/Equity: Bonus eligible, LTI eligible; Benefits: Health insurance, retirement savings, paid leave and more

Skills & Requirements

Must-have

  • Data engineering and architecture solutions
  • Azure stack and Databricks expertise
  • Stakeholder management in matrix organization
  • Data pipeline frameworks and data lake architectures
  • People leadership and talent development
  • Big data and Spark framework knowledge

Nice-to-have

  • Agile methodology and practice
  • Experience with AI and cognitive computing
  • Vendor relationship management
  • Collaborative and positive work environment

Key Requirements

  • Experience building scalable data engineering solutions
  • Graduate degree in technical field
  • People leadership experience
  • Hands-on data architecture and AI solution design
  • FMCG or related industry experience
  • Stakeholder management with executive leaders

Work Rights

Not specified

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