Job Details

Location: Anywhere in Country

Overview

At EY, we empower professionals to shape their future with confidence in a globally connected, diverse environment. As a Manager of Data Engineering, you will lead a team that designs and implements complex cloud analytics solutions, focusing on Databricks, to deliver significant business value for our clients.

Key Responsibilities

• Translate business requirements into technical specifications.
• Design, build, and operate scalable data architecture and modeling solutions.
• Stay current with emerging technologies and industry trends.
• Lead workstream delivery, ensuring quality and adherence to processes.
• Engage with clients daily, participating in working sessions and identifying service opportunities.
• Implement resource plans and budgets while managing engagement economics.
• Travel regularly as needed to meet client requirements.

Qualifications & Requirements

• Bachelor's degree in Computer Science, Engineering or related field (Master's preferred).
• 4–6 years of data engineering experience with a focus on cloud solutions and analytics.
• Proven expertise in Databricks and Spark for big‑data processing.
• Strong background in data architecture, design, and cloud analytics solutions.
• Experience leading and mentoring data engineering teams.
• Strong programming skills in Python, Scala, or SQL.
• Excellent problem‑solving, communication, and client‑management skills.
• Ability to work independently and collaboratively in a fast‑paced environment.

Required Expertise for Managerial Role

• Strategic leadership aligning data initiatives with organizational goals.
• Project management experience for multiple concurrent projects.
• Stakeholder engagement, including executive interactions.
• Change, risk, and documentation management.
• Technical leadership guiding architectural decisions.

Large‑Scale Implementation Programs

• Enterprise Data Lake: Designed and deployed a cloud‑based data lake for a Fortune 500 retailer, integrating ERP, POS, and e‑commerce data.
• Real‑Time Analytics Platform: Led the development of a Databricks‑based real‑time fraud‑detection system for a financial services client.
• Data Warehouse Modernization: Modernized a legacy warehouse to a cloud‑native architecture for a healthcare provider, improving data accessibility.

Ideal Candidate Attributes

• Experience with advanced analytics tools and machine‑learning concepts.
• Familiarity with AWS, Azure, GCP, and their data services.
• Knowledge of data governance, compliance, and security standards.
• Proficiency in machine‑learning frameworks and related tools.
• Passion for continuous learning and collaborative problem‑solving.

What We Offer

• Competitive compensation: US base salary range $125,500–$230,200 (adjusted by location).
• Comprehensive benefits including medical, dental, pension, 401(k), and paid time off.
• Flexible hybrid work model—40–60% onsite for client‑serving roles.
• Flexible vacation policy and support for personal/family care.
• Opportunities for professional growth and skill development.

Equal Opportunity Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.

Application Process

Applications for this position are accepted on an ongoing basis. If you are ready to shape your future, apply today.