Databricks Data Engineering Manager — Cloud Analytics

EY

Salt Lake City (UT)

Remote

USD 126.000 - 230.000

Vollzeit

vor 4 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical and dental coverage
401(k) plan
Paid time off

Zusammenfassung

EY seeks a dynamic Data Engineering Manager to lead cloud analytics projects with a focus on Databricks. Design scalable data architectures, mentor engineers, and collaborate with clients to translate business needs into technical solutions.

Responsibilities include delivering workstreams, managing budgets, and driving end-to-end data pipeline development with strong data governance and security across the lifecycle. Travel may be required based on client needs.

Qualifikationen

  • Bachelor’s degree in computer science, engineering, or related field is required.
  • Typically, no less than 4 - 6 years relevant experience in data engineering with cloud data solutions.
  • Proven expertise in Databricks and Spark for big data processing.
  • Hands-on experience with AI-native data engineering practices.
  • ,

Aufgaben

  • Lead workstream delivery and ensure quality across processes.
  • Engage with clients daily, identify opportunities for additional services.
  • Manage resource plans and budgets; oversee engagement economics.
  • Design, build, and operate scalable data architectures on cloud platforms.

Kenntnisse

Databricks
Data architecture
Cloud platforms
Leadership
Client management
Python/SQL/Scala
Spark
AI-native tooling
Data governance
Communication

Ausbildung

Bachelor’s degree in CS/Engineering
Master’s degree preferred

Tools

Databricks
Spark
GitHub Copilot
Cursor
Databricks Assistant

Jobbeschreibung

EY seeks a dynamic Data Engineering Manager to lead cloud analytics projects with a focus on Databricks. Design scalable data architectures, mentor engineers, and collaborate with clients to translate business needs into technical solutions.

Responsibilities include delivering workstreams, managing budgets, and driving end-to-end data pipeline development with strong data governance and security across the lifecycle. Travel may be required based on client needs.

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