Databricks Data Engineering Manager — Cloud Analytics Leader

EY; Tallahassee (FL); Remote; USD 126,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Job summary

EY is seeking a dynamic Manager of Data Engineering to lead analytics initiatives, architect scalable cloud data solutions, and mentor a growing team. You will drive end-to-end data pipelines on Databricks across AWS/Azure/GCP, translate business requirements into technical actions, and manage client engagements with a focus on delivering measurable value.

The role emphasizes leadership, collaboration, and staying current with data engineering trends while balancing budgets and timelines.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field; Master’s degree preferred.
• Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Hands‑on experience with AI‑native data engineering practices, such as using generative AI and agentic workflows to accelerate pipeline development, testing, documentation, and optimization.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients daily, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.
• Travel may be required regularly based on client needs.

Skills

Leadership

Client management

Communication

Data engineering architecture

Python/SQL/Scala

AI-native data engineering

Education

Bachelor’s degree in Computer Science/Engineering or related field

Master’s degree preferred

Tools

Databricks

Spark

AWS

Azure

GCP

Job description

EY is seeking a dynamic Manager of Data Engineering to lead analytics initiatives, architect scalable cloud data solutions, and mentor a growing team. You will drive end-to-end data pipelines on Databricks across AWS/Azure/GCP, translate business requirements into technical actions, and manage client engagements with a focus on delivering measurable value.

The role emphasizes leadership, collaboration, and staying current with data engineering trends while balancing budgets and timelines.