Azure Data Engineer

Role overview

EY is looking for a Data Engineering Lead (Manager) to guide enterprise data transformation for a major insurance client. The position focuses on building modern, scalable data platforms on Azure and Databricks to support analytics, compliance, and business decision-making. You will shape data architecture, influence strategy, and help deliver high-value solutions in a complex enterprise setting.

What you will do

• Own the architecture and execution of large-scale data platforms built on Azure and Databricks.
• Set the data strategy, technical direction, and delivery roadmap to match business and regulatory needs.
• Design robust data models, data pipelines, and lakehouse-based solutions that can scale.
• Lead modernization efforts for legacy systems such as DB2 and Datastage, moving them to cloud platforms.
• Work closely with business stakeholders, architects, and cross-functional teams to deliver data-driven outcomes.
• Build governance, security, and compliance controls that meet insurance industry expectations.
• Manage, coach, and support data engineering teams while promoting quality and delivery discipline.
• Improve productivity by introducing AI, GenAI, and agentic AI approaches where they add value.

Skills and experience required

• Hands-on background in designing data platforms on Azure services such as ADF, ADLS, and Synapse, along with Databricks.
• Strong capability in Python, SQL, Spark, and distributed data processing at scale.
• Solid understanding of data architecture, data warehousing, and lakehouse design patterns.
• Prior exposure to Insurance or BFSI environments and their regulatory data requirements.
• Demonstrated leadership in managing teams and delivering complex, large programs.
• Working knowledge of DevOps, CI/CD, and current software engineering practices.
• Excellent communication, stakeholder handling, and problem-solving abilities.
• Experience using AI, automation, and engineering accelerators to improve delivery efficiency.
• Useful background in Mulesoft, Datastage, and DB2 integration or migration work.
• Familiarity with insurance processes such as claims, underwriting, policy, and finance.
• Relevant Azure or Databricks certifications are an advantage.
• Exposure to AI/ML platforms and agentic AI frameworks is preferred.

Education and eligibility

Applicants should be any graduate. A bachelor’s or master’s degree in Computer Science, Information Technology, or a related discipline is preferred for this role.

Location

The position is based in Bangalore or Kochi, India.

Additional details

Experience required for this opportunity is 10 to 17 years in Data Engineering, including architecture and leadership responsibilities.

This is a manager-level full-time opportunity within EY’s GDS Consulting, AI and Data practice.