Data Engineers - Databricks - Manager

Overview

As a Data Engineers - Databricks - Manager, you will lead data engineering work that designs and builds data pipelines, data integration, and data transformation solutions within the Data and Analytics Engineering practice. You will guide teams developing data infrastructure and systems that help convert raw data into insights for decision-making and business growth.

What you'll do

• Lead Databricks data engineering workstreams across client delivery teams.
• Design and build data pipelines, integration flows, and transformation logic for cloud-based platforms.
• Guide data architecture decisions for data lake and data warehouse environments.
• Manage project planning, scheduling, budgeting, and delivery milestones for assigned engagements.
• Review technical design, code, and pipeline logic to validate performance, reliability, and maintainability.
• Apply Apache Airflow, Azure Data Factory, and Databricks Unified Data Analytics Platform to automate data movement and processing.
• Develop scalable data models, dimensional structures, and validation routines for analytics use cases.
• Coach team members on data engineering methods, delivery approaches, and problem-solving techniques.
• Identify risks, dependencies, and delivery issues, then escalate blockers when needed.
• Collaborate with client stakeholders to translate business needs into data solutions and actionable implementation plans.
• Motivate, develop, and coach team members, and manage performance against client expectations.
• Take ownership of planning, budgeting, execution, and completion of assigned workstreams.
• Apply technology and innovation to improve delivery, address issues with clients and internal stakeholders, and validate that work aligns with professional and technical standards.

What you'll need

• At least a Bachelor's degree.
• At least 8 years of experience.
• Oral and written proficiency in English required.

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.
• Demonstrating Databricks data engineering delivery across client engagements.
• Leading teams through planning, budgeting, and execution cycles.
• Mentoring junior staff through review and coaching activities.
• Applying analytics to identify system linkages and interactions.
• Navigating client issues through clear, timely communication.

Details

• Location: Bangalore.