Technical Lead - DataBricks
Wipro
- Location
- Minneapolis, USA-MN, USA, 55401<br/>
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 906 approvals (FY2023)
- Posted
- Aug 24, 2026
Skills
About this role
Job Description
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Job Title
Technical Lead - DataBricks
City
Minneapolis
State/Province
Minnesota
Posting Start Date
8/24/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role: Technical Lead - DataBricks Location: Dallas, TX (3 Days onsite/week) Job Summary: We are looking for a highly skilled and hands-on Databricks Lead Data Engineer to design, build, optimize, and manage scalable data engineering solutions using Databricks, Apache Spark, PySpark, SQL, and cloud-based data platforms. The ideal candidate should have strong technical leadership capabilities along with deep hands-on experience in developing production-grade data pipelines, lakehouse architectures, and enterprise data solutions. Key Responsibilities: • Lead the design, development, and implementation of scalable data pipelines and data lakehouse solutions using Databricks, PySpark, Spark SQL, and Delta Lake. • Work hands-on in building batch and streaming ETL/ELT pipelines from multiple source systems into cloud data platforms. • Design and implement medallion architecture layers such as Bronze, Silver, and Gold for efficient data processing and analytics consumption. • Optimize Spark jobs, Databricks notebooks, clusters, workflows, and SQL queries for performance,