Databricks Data Engineering Manager - Cloud Analytics Lead

EY; San Mateo (CA); Vor Ort; USD 157.000 - 262.000; Vollzeit

Benefits dieser Stelle

Total Rewards package

Medical and dental coverage

Pension and 401(k)

Paid time off

Zusammenfassung

EY is seeking a dynamic Data Engineering Manager to lead a team delivering cloud analytics solutions with a strong Databricks focus. You will design scalable data architectures, mentor engineers, and collaborate with clients to translate requirements into effective technical solutions.

You will oversee end-to-end data pipelines, stay current with tech trends, and manage delivery across multiple initiatives, including risk and budget considerations. Travel may be required.

Qualifikationen

• Bachelor’s or higher in CS/Engineering; Master’s preferred.
• 4–6 years in data engineering with cloud analytics focus.
• Proven Databricks expertise and Spark experience.
• Hands-on AI-native data engineering practices and pipelines.
• Strong data architecture and cloud analytics background.
• Experience leading and mentoring teams; client-facing.
• Proficient in Python, SQL, and Scala; good communication.

Aufgaben

• Lead workstreams and ensure quality across data engineering initiatives.
• Engage with clients daily; identify opportunities for services.
• Implement resource plans and budgets; manage engagement economics.
• Design scalable data architectures on cloud analytics platforms.

Kenntnisse

Databricks

Leadership

Client management

Data architecture

Python

SQL

Scala

Spark

Data governance

Communication

Cloud platforms

Team mentoring

Ausbildung

Bachelor’s degree in Computer Science or Engineering

Master’s degree preferred

Tools

Databricks Assistant

Cursor

GitHub Copilot

Spark

Jobbeschreibung

EY is seeking a dynamic Data Engineering Manager to lead a team delivering cloud analytics solutions with a strong Databricks focus. You will design scalable data architectures, mentor engineers, and collaborate with clients to translate requirements into effective technical solutions.

You will oversee end-to-end data pipelines, stay current with tech trends, and manage delivery across multiple initiatives, including risk and budget considerations. Travel may be required.