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# BI Tech Lead

- **Company:** EXL SERVICE
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Validation, Information Engineering, Data Governance, Distributed Data Store, Power BI, Tableau (Software), Sql Optimization, Technical Debt, Information Technology, Data Lineage, Star Schema, Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c46263b37cd652bf

## About the Role

Do you have experience in Stakeholder management?, * 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

Responsibilities: Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
Qualifications: Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

## Description

* 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.


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