Databricks Data Engineer - Manager - Consulting

Join EY as a Databricks Data Engineer – Manager in Consulting. This role focuses on designing and building complex cloud analytics solutions with a strong emphasis on Databricks. The position is open to candidates located anywhere in the country.

EY is a global professional services network dedicated to solving complex business challenges. As our Data Engineering Manager, you will lead a team of data engineers, manage client engagements, and deliver advanced analytics solutions that drive business value.

• Interpret business requirements into technical specifications.
• Design, build, and operate scalable data architecture and modeling solutions on Databricks and cloud platforms (AWS, Azure, GCP).
• Lead workstream delivery, ensuring quality and adherence to project objectives.
• Engage with clients daily, participating in working sessions and identifying opportunities for additional services.
• Develop and manage resource plans, budgets, and engagement economics.
• Maintain a competitive edge by staying current with emerging technologies and best practices.
• Guide the team through complex technical initiatives and provide mentorship and continuous improvement.
• Ensure data quality, integrity, and security across the data lifecycle.
• Communicate effectively with technical and non‑technical stakeholders.
• Manage client relationships and expectations to achieve high levels of satisfaction.
• Travel as required based on client needs.

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 4–6 years of experience in data engineering with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks, Spark, and building complex cloud analytics solutions.
• Strong programming skills in Python, Scala, or SQL.
• Experience leading and mentoring engineering teams.
• Excellent analytical, problem‑solving, and communication skills.
• Client‑management experience and stakeholder engagement.
• Strategic leadership, project management, change management, risk management, and technical leadership skills.
• Knowledge of data governance, compliance standards, and industry trends.

• Enterprise Data Lake Implementation:
  Designed and deployed a cloud‑based data lake for a Fortune 500 retail client, integrating ERP, POS, and e‑commerce data.
• Real‑Time Analytics Platform:
  Managed a real‑time analytics platform using Databricks for a financial services organization, enabling fraud detection and risk assessment.
• Data Warehouse Modernization:
  Modernized a legacy data warehouse to a cloud‑native architecture for a healthcare provider, improving data accessibility for analytics.

• Competitive compensation ranging from $125,500 to $230,200, plus performance bonuses.
• Comprehensive benefits including medical, dental, pension, 401(k), and paid time off.
• Flexible vacation policy and support for personal and family care.
• Hybrid work model with expectations of 40–60% on‑site collaboration.
• Opportunity for continuous learning and development in a globally connected environment.

EY accepts applications for this position on an ongoing basis. For those living in California, additional information is available upon request. EY is committed to equal employment opportunities and requires all candidates to demonstrate high ethical standards and integrity.

• Seniority Level: Mid‑Senior
• Employment Type:
  
  Full‑time
• Job Function:
  Information Technology
• Industry: Professional Services