Sr. Manager Data Engineering - Horizon3 Labs

Unilever Com Br

Base: $113,900-$156,600; bonus/equity: bonus eligi...
Data engineering and architecture
Data assets and services design
Data ingestion and pipeline frameworks
The role is responsible for leading a team of data engineers engaged in Horizon3 Lab projects and ensuring delivery of tasks in full and on time

Job Summary

  • The role is responsible for leading a team of data engineers engaged in Horizon3 Lab projects and ensuring delivery of tasks in full and on time.
  • Drive excellence in data engineering processes for intelligent data solutions across data ingestion/data pipeline frameworks, intelligent design & harmonisation, data warehouse & data lake architectures, cognitive computing, and cloud services within the scope and operating model of H3L.
  • Unilever employees are eligible to participate in our benefits plan.

Matching Summary

The role is responsible for leading a team of data engineers engaged in Horizon3 Lab projects and ensuring delivery of tasks in full and on time.

Salary

Base: $113,900-$156,600; Bonus/Equity: Bonus eligible, LTI eligible; Benefits: Comprehensive benefits plan

Skills & Requirements

Must-have

  • Data Engineering and Architecture
  • Data Assets and Services Design
  • Data Ingestion and Pipeline Frameworks
  • Data Warehouse and Data Lake Architectures
  • Cloud Services within H3L
  • Azure Stack, Databricks, SQL, Python

Nice-to-have

  • Foster strategic relationships
  • Influence senior stakeholders
  • Drive excellence in processes
  • Nurture high-performing team
  • Agile methodology and practice

Key Requirements

  • Experience building data engineering/architectures solutions at scale
  • Hands-on experience in data architecture, design, implementation
  • Stakeholder management in a matrix organization
  • Detailed knowledge of analytics, AI, data, technology trends
  • Strong knowledge of data lifecycle management
  • Working knowledge of Big data framework
  • Working knowledge of Spark Framework
  • Working knowledge of Data Modelling
  • People leadership and talent development experience
  • Graduate Degree in a technical field

Work Rights

Not specified

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