Role: Onshore Tech Lead
Location: US (NJ) (should be ready to go to office 1-2 days/week)
Type: Full-time
Experience: 10+ years
Key Responsibilities
- Audit legacy BI environments to identify logic gaps and technical debt.
- Co-ordinate between the client and offshore team.
- Proven track record of leading distributed data engineering teams in an Agile environment.
- Define complex entity relationships, multi-level hierarchies, and attribute mappings.
- Map end-to-end data lineage and establish a robust data catalog to ensure transparency.
- Centralize fragmented business rules into a unified, scalable data foundation.
- Classify data assets based on quality and identify missing data elements required for migration.
- Partner with onshore stakeholders to rank deliverables based on business value and technical dependencies.
- Lead the offshore team in building automated data pipelines to support the new foundation.
- Manage the transition of reports , ensuring visual parity and performance optimization.
- Implement rigorous data quality frameworks and automated reconciliation to ensure 100% data accuracy.
Must Have
- Experienced in leading team of 4+ members
- Expert-level knowledge of Tableau
- Strong knowledge in Power BI
- Advanced SQL and experience with modern data stacks
- Mastery of Star/Snowflake schemas and semantic layer design
- automate complex dashboards and data validation workflows.
- Good knowledge in Data Engineering concepts,
- Ability to translate technical foundation risks into clear business impact
ResponsibilitiesOversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance. QualificationsGraduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field. About Us
Skills Required
- 10+ years experience
- Experience leading teams of 4+ members
- Proven track record leading distributed data engineering teams in Agile
- Expert-level knowledge of Tableau
- Strong knowledge in Power BI
- Advanced SQL
- Experience with modern data stacks
- Mastery of Star and Snowflake schema design and semantic layer design
- Ability to automate complex dashboards and data validation workflows
- Good knowledge of data engineering concepts
- Ability to translate technical foundation risks into clear business impact
- Graduate in Computer Science, Data Science, or related field
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
