Databricks Data Engineering Manager: Lead Cloud Analytics

EY; Sacramento (CA); Vor Ort; USD 126.000 - 230.000; Vollzeit

Benefits dieser Stelle

Medical & dental coverage

Pension & 401(k)

Paid time off

Zusammenfassung

EY is seeking a dynamic Data Engineering Manager to lead design and delivery of cloud analytics solutions with a focus on Databricks. You will guide a team, collaborate with clients, and translate business requirements into scalable data architectures across AWS, Azure, and GCP.

The role emphasizes leadership, governance, and end-to-end data pipeline development, including ingestion, transformation, and storage. Travel may be required as projects demand.

Qualifikationen

• Bachelor’s or higher in computer science, engineering, or related field; Master’s preferred.
• Typically 4–6 years of data engineering experience with cloud analytics.
• Proven Databricks and Spark expertise for big data processing.
• Hands-on AI-native data engineering practices and workflow automation.
• Strong data architecture background and cloud analytics design.

Aufgaben

• Lead delivery of scalable data engineering initiatives and ensure quality.
• Engage with clients daily, identify opportunities for additional services.
• Oversee budgets, resource plans, and engagement economics.
• Design, build, and operate cloud analytics solutions with Databricks.
• Mentor and develop a pipeline of data engineers within the team.

Kenntnisse

Databricks

Cloud architectures

Data pipelines

Team leadership

Client management

Python/Scala/SQL

Data governance

Ausbildung

Bachelor’s degree in CS/Engineering

Tools

Spark

AI tools

GitHub Copilot

Jobbeschreibung

EY is seeking a dynamic Data Engineering Manager to lead design and delivery of cloud analytics solutions with a focus on Databricks. You will guide a team, collaborate with clients, and translate business requirements into scalable data architectures across AWS, Azure, and GCP.

The role emphasizes leadership, governance, and end-to-end data pipeline development, including ingestion, transformation, and storage. Travel may be required as projects demand.