Data Engineers - Databricks - Senior Manager

Overview

Lead data engineering work focused on designing and building data pipelines, data integration, and data transformation solutions using Databricks-based platforms. Lead large projects, coach teams through ambiguity, and provide clear communication and strategic input that supports operational excellence and client decision-making.

What you'll do

• Lead data engineering workstreams for Databricks-based client solutions across data modernization initiatives.
• Design and build scalable data pipelines, integration patterns, and transformation logic to support analytics and reporting needs.
• Develop cloud-based data architectures using Databricks, Azure Data Factory, Snowflake, and related platforms.
• Apply data modeling, warehouse design, and performance tuning methods to improve data availability and query response times.
• Coordinate technical delivery across teams and stakeholders to translate business requirements into data solutions.
• Validate data quality, lineage, and transformation logic throughout the development lifecycle.
• Guide teams through complex implementation issues, tradeoffs, and dependencies across multiple workstreams.
• Coach team members on data engineering methods, delivery planning, and technical problem solving.
• Present progress, risks, and solution options to client leaders in a clear and concise manner.
• Support the development of reusable frameworks and delivery approaches that improve efficiency across engagements.

What you'll need

• At least a Bachelor's degree.
• At least 12 years of experience.
• Oral and written proficiency in English.

Nice to have

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
• Databricks platform experience across data engineering projects.
• Cloud data platform knowledge with Azure, AWS, or Snowflake.
• Experience leading client-facing data modernization work through complex delivery.
• Experience crafting data pipelines, modeling, and transformation solutions.
• Experience coaching teams through ambiguity while solving technical issues.

Details

• Location: Bangalore.