Verified today
Manager Data Engineering Big Data Engineering
About the role
Lead Data Engineer role at EXL drives end‑to‑end data engineering initiatives, guiding cross‑functional teams to deliver scalable, cloud‑based solutions. The position requires deep expertise in Big Data, distributed systems, and cloud‑native architectures, with hands‑on experience in Snowflake, SQL, AWS services, Python, and PySpark. Responsibilities include mentoring onshore and offshore engineers, establishing best practices, overseeing project delivery, designing data architectures, and ensuring performance and reliability of pipelines. The role demands strong leadership, stakeholder communication, and Agile/Scrum proficiency, with a proven track record of managing multi‑region teams and delivering enterprise‑scale projects. Candidates should hold at least a bachelor’s degree in Computer Science, Engineering, or related fields and possess 12+ years of data engineering experience.
What you’ll do
- Lead and mentor onshore/offshore data engineering teams.
- Provide technical direction, coaching, and knowledge sharing.
- Establish engineering best practices, coding standards, reusable frameworks.
- Champion innovation, continuous learning, thought leadership.
- Oversee end‑to‑end project delivery, ensuring timely, high‑quality execution.
- Define high‑level solution designs, data architectures, ETL/ELT frameworks.
- Drive development, code reviews, unit testing, deployment to production.
- Communicate project updates, risks, and technical concepts to stakeholders.
What you’ll bring
Bachelor’s or Master’s degree in CS, Engineering, IT, or related field.
Skills
Education
Bachelor's Degree