Manager Data Analytics & Engineering

Magna Electronics Inc.

Lowell, US
Base: $105,780 - $196,440; bonus/equity: eligible ...
On-site
Scalable data platforms
Databricks lakehouse architectures
Etl/elt pipelines
Magna Electronics Inc. is seeking a Manager of Data Analytics & Engineering to lead a team in developing scalable data platforms and analytics solutions that drive data-informed decision-making. The ideal candidate should possess strong expertise in data engineering, analytics, and team leadership, with a focus on technologies like Databricks and business intelligence tools

Job Summary

  • Lead the development of scalable data platforms, analytics systems, and data science solutions to enable intelligent, data-driven decision making.
  • Manage a team of data engineers, data scientists, and analysts responsible for building robust data pipelines, developing advanced algorithms, and delivering actionable insights.
  • Oversee ETL/ELT pipelines to ingest data from multiple enterprise systems and manage the development and maintenance of interactive dashboards using QuickSight or similar BI platforms.

Matching Summary

Match Score: 85

Magna Electronics Inc. is seeking a Manager of Data Analytics & Engineering to lead a team in developing scalable data platforms and analytics solutions that drive data-informed decision-making. The ideal candidate should possess strong expertise in data engineering, analytics, and team leadership, with a focus on technologies like Databricks and business intelligence tools.

Salary

Base: $105,780 - $196,440; Bonus/Equity: eligible for annual performance based bonus; Benefits: Not specified

Skills & Requirements

Must-have

  • Scalable data platforms
  • Databricks lakehouse architectures
  • ETL/ELT pipelines
  • Data modeling for analytics
  • Data quality and governance
  • QuickSight BI dashboards

Nice-to-have

  • AI capabilities
  • Self-service analytics
  • Data-driven decision making culture

Key Requirements

  • 8+ years in data engineering and analytics
  • 2+ years leading data teams
  • Databricks, Spark, or lakehouse experience
  • Expertise in SQL and Python
  • Understanding of algorithms and data science
  • Experience with BI dashboards (QuickSight, Tableau, Power BI, Looker)
  • Bachelor's Degree in Data Science, Computer Science, Mathematics or related field

Work Rights

Not specified

Tailored Resume

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