Manager-Data Engineering-Big Data Engineering

Job description

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.