Databricks Data Engineering Manager | Cloud Analytics Leader

EY

New Brunswick (NJ)

Remote

USD 126.000 - 230.000

Vollzeit

vor 3 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

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

Zusammenfassung

EY in the United States is seeking a dynamic Data Engineering Manager to lead cloud analytics initiatives with a strong focus on Databricks.

You will design scalable data architectures, mentor engineers, and engage clients across engagements, with travel as needed.

This role offers exposure to cutting-edge technologies and a path for leadership within EY's global analytics practice.

Qualifikationen

  • Bachelor's degree in computer science, engineering, or related field (Master’s preferred).
  • Typically 4–6 years of experience in data engineering with cloud data solutions and analytics.
  • Proven expertise in Databricks and Spark for big data processing.
  • Hands-on with AI-native data engineering practices to accelerate pipeline development and optimization.
  • Strong background in data architecture and design for complex cloud analytics.
  • Experience leading and mentoring teams with focus on talent development.
  • Proficient in Python, Scala, or SQL.
  • Familiarity with AI-powered IDEs and coding assistants in daily development.
  • Excellent problem-solving and client-management skills.

Aufgaben

  • Lead workstream delivery and ensure quality across processes.
  • Engage with clients daily, identifying opportunities for additional services.
  • Manage resource plans and budgets while overseeing engagement economics.

Kenntnisse

Databricks
Cloud platforms
Data modeling
Python
SQL
Leadership

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Databricks

Jobbeschreibung

EY in the United States is seeking a dynamic Data Engineering Manager to lead cloud analytics initiatives with a strong focus on Databricks.

You will design scalable data architectures, mentor engineers, and engage clients across engagements, with travel as needed.

This role offers exposure to cutting-edge technologies and a path for leadership within EY's global analytics practice.

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