Lead Data Engineer IRC301013

GlobalLogic is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. They are seeking a Lead Data Engineer to oversee the delivery of data and analytics initiatives, manage project timelines, and lead a team of data professionals.

Responsibilities:

• Lead end-to-end delivery of data and analytics initiatives
• Manage project plans, delivery timelines, sprint execution, and work allocation
• Coordinate activities across Data Engineers, Power BI Developers, Data Analysts, and QA resources
• Monitor project risks, dependencies, and issue resolution activities
• Drive successful execution from requirements through deployment and business adoption
• Lead development and support of enterprise data pipelines and integrations
• Oversee data ingestion from multiple source systems into Databricks
• Manage development of Bronze, Silver, and Gold layer datasets
• Review Source-to-Target mappings and transformation logic
• Ensure data quality, scalability, and performance of data solutions
• Drive adherence to engineering standards and best practices
• Lead development of semantic models and Power BI reporting solutions
• Ensure consistency of business KPIs, measures, and reporting logic
• Support dashboard development, testing, and deployment activities
• Coordinate report enhancements and analytics backlog delivery
• Promote reusable and scalable reporting solutions across business domains

Requirements:

• Databricks
• SQL
• Data Warehousing
• Delta Lake
• Azure Data Platform
• Power BI
• Semantic Modeling
• DAX
• Data Integration Tools (e.g., Fivetran)
• Azure DevOps / Jira
• Agile Delivery Management
• Team Leadership
• Stakeholder Management
• Risk & Issue Management
• Resource Planning
• Project Coordination
• Data Reconciliation
• Data Quality Management
• Root Cause Analysis
• KPI Validation
• Reporting & Analytics Delivery
• User Acceptance Testing (UAT)