Databricks Data Engineering Manager — Cloud Analytics Leader

EY; Milwaukee (WI); Remote; USD 126.000 - 230.000; Vollzeit

Benefits dieser Stelle

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Zusammenfassung

EY is seeking a dynamic Data Engineering Manager to lead a team delivering scalable cloud analytics solutions with a focus on Databricks. You will design data architecture, mentor engineers, and collaborate with clients to translate business needs into technical outcomes.

The role involves steering workstreams, managing budgets, engaging with stakeholders daily, and ensuring data quality, governance, and security across the data lifecycle. Travel may be required to meet client needs.

Qualifikationen

• Bachelor’s degree in computer science, engineering or related field; Master’s preferred.
• 4–6 years of experience in data engineering, cloud data solutions and analytics.
• Proven Databricks expertise and Spark experience.
• Hands-on AI-native data engineering practices and governance.
• Strong leadership and client-management abilities.

Aufgaben

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily, participate in working sessions, identify upsell opportunities.
• Implement resource plans and budgets while managing engagement economics.
• Drive end-to-end data pipeline development and data governance.

Kenntnisse

Databricks

Cloud data platforms

Leadership

Python/Scala/SQL

Client management

Data governance

Ausbildung

Bachelor’s in CS/Engineering

Master’s preferred

Tools

Databricks

Spark

Jobbeschreibung

EY is seeking a dynamic Data Engineering Manager to lead a team delivering scalable cloud analytics solutions with a focus on Databricks. You will design data architecture, mentor engineers, and collaborate with clients to translate business needs into technical outcomes.

The role involves steering workstreams, managing budgets, engaging with stakeholders daily, and ensuring data quality, governance, and security across the data lifecycle. Travel may be required to meet client needs.