Lead Data Engineer

2 weeks ago

Jersey City NJ, United States EXL Full time

Position: Lead Data Engineer Location: Jersey City , NJ(Hybrid) Employment Type: Full-Time --- 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. --- Educational Qualifications · Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

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