Databricks Data Engineering Manager - Cloud Analytics Lead

EY

Oklahoma City (OK)

Remote

USD 126.000 - 262.000

Vollzeit

vor 5 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Total Rewards package

Zusammenfassung

EY is seeking a dynamic Data Engineering Manager to lead a team designing cloud analytics solutions with a focus on Databricks. You will translate business needs into scalable data architectures and guide delivery with clients and stakeholders.

You will lead cross‑functional workstreams, manage budgets, mentor engineers, and ensure data quality and governance while advancing modern data platforms across projects. Travel may be required.

Qualifikationen

  • Bachelor’s degree in computer science, engineering or related field.
  • 4–6 years of relevant data engineering experience with cloud data solutions.
  • Proven Databricks expertise and Spark experience.
  • Hands-on with AI-native data engineering practices and governance.
  • Strong architecture and leadership skills.

Aufgaben

  • Lead workstream delivery and ensure quality across processes.
  • Engage with clients daily, identifying opportunities for services.
  • Implement resource plans and manage engagement economics.
  • Mentor a team of data engineers and guide technical decisions.
  • Translate business requirements into scalable data architectures.

Kenntnisse

Leadership
Client management
Communication
Analytical thinking
Project management
Mentoring
Cloud analytics awareness

Ausbildung

Bachelor’s in CS/Engineering
Master’s preferred

Tools

Databricks
Spark
Python
SQL
AWS
Azure
GCP

Jobbeschreibung

EY is seeking a dynamic Data Engineering Manager to lead a team designing cloud analytics solutions with a focus on Databricks. You will translate business needs into scalable data architectures and guide delivery with clients and stakeholders.

You will lead cross‑functional workstreams, manage budgets, mentor engineers, and ensure data quality and governance while advancing modern data platforms across projects. Travel may be required.

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