Lead Data Engineer

About the Role

We are seeking a highly skilled Lead Data Engineer to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment.

Key Responsibilities

Leadership & Team Management

Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.

Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building.

Establish and enforce engineering best practices, coding standards, and reusable frameworks.

Champion innovation, continuous learning, and thought leadership within the data engineering function.

Project Delivery & Execution

Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.

Define high-level solution designs, data architectures, and ETL / ELT frameworks for cloud-based data platforms.

Drive development, code reviews, unit testing, and deployment to production environments.

Ensure optimal performance, scalability, and reliability across data pipelines and systems.

Stakeholder Communication & Collaboration

Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.

Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.

Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews.

Risk & Issue Management

Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans.

Ensure governance, compliance, and alignment with organizational standards and methodologies.

Must-Have Skills

12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.

Strong expertise in Big Data concepts , distributed systems, and cloud-native architectures.

Proficiency in Snowflake, SQL , and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions).

Hands-on experience with Python, PySpark , and building cloud-based microservices.

Strong problem-solving, analytical skills, and end-to-end ownership mindset.

Proven ability to work in Agile / Scrum environments with iterative delivery cycles.

Exceptional communication, leadership, and stakeholder management skills .

Demonstrated capability in leading onshore–offshore teams and coordinating multi-region delivery efforts.

Good-to-Have Skills

Experience with DevOps tools (Jenkins, Git, GitHub / GitLab) and CI / CD pipeline implementation.

Experience with cloud migration and large-scale modernization projects.

Familiarity with the US insurance / reinsurance domain + P&C Insurance knowledge

Knowledge of Data Vault 2.0 and modern data modeling techniques.