EY - GDS Consulting - AI And DATA - Databricks - Manager

EY - GDS Consulting - AI And DATA - Databricks - Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Job Description – Data Engineering Lead (Manager)

Job Summary

We are seeking a Data Engineering Lead (Manager) to architect and drive enterprise data transformation programs for a leading Insurance client. This role will lead the design and implementation of scalable data platforms using Azure and Databricks, enabling advanced analytics, regulatory compliance, and business insights. The candidate will play a pivotal role in shaping data strategy, driving innovation, and delivering high-impact solutions in a complex enterprise environment.

Key Responsibilities

• Lead architecture and implementation of enterprise-scale data platforms using Azure and Databricks
• Define data strategy, architecture, and roadmap aligned with business and regulatory requirements
• Drive design of scalable data models, pipelines, and lakehouse architectures
• Oversee migration and modernization of legacy systems (DB2, Datastage) to cloud platforms
• Collaborate with business leaders, architects, and cross-functional teams to deliver data-driven solutions
• Implement governance, security, and compliance frameworks aligned to insurance standards
• Lead, mentor, and manage data engineering teams, ensuring best practices and delivery excellence
• Drive productivity improvements through adoption of AI/GenAI and Agentic AI-based solutions

Required Skills

• Strong experience in architecting data platforms on Azure (ADF, ADLS, Synapse) and Databricks
• Expertise in Python, SQL, Spark, and large-scale distributed data processing
• Deep knowledge of data architecture, data warehousing, and lakehouse patterns
• Experience in Insurance or BFSI domain with strong understanding of regulatory data needs
• Proven leadership experience managing teams and delivering large-scale programs
• Knowledge of DevOps, CI/CD, and modern engineering practices
• Strong stakeholder management, communication, and problem-solving skills
• Experience driving innovation through AI, automation, and data engineering accelerators

Preferred Qualifications

• Experience with Mulesoft, Datastage, and DB2 integration and migration
• Understanding of insurance domains (claims, underwriting, policy, finance)
• Microsoft Certified: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert
• Databricks Certified Data Engineer (Associate/Professional) or Databricks Architect certifications
• Exposure to AI/ML platforms and Agentic AI frameworks for engineering productivity improvements

Experience & Education

• 10–17 years of experience in Data Engineering, including architecture and leadership roles
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Work Location

• Bangalore or Kochi

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

Experience Level

Mid Level