Senior Manager Data Engineering

Overview

Senior Manager – Data Engineering (EDSE) to lead enterprise-scale data engineering initiatives and teams.

What you'll do

• Lead and develop data engineering teams for enterprise data products, platforms, and mission-critical solutions.
• Define and execute the domain data engineering roadmap aligned to EDSE and enterprise priorities.
• Advance modern capabilities including cloud, AI, automation, and observability.
• Oversee design, development, deployment, and support of scalable data products and pipelines.
• Lead implementation of the Enterprise Data Fabric (EDF), semantic layer, data products, and governance initiatives.
• Champion AI (ML, Generative AI, Agentic AI) and automation to improve engineering efficiency.
• Build, mentor, and manage engineering leadership including performance and talent planning.

What you'll need

• 12+ years of experience in data engineering, data platforms, analytics engineering, or related fields.
• 5+ years of leadership experience managing engineering teams and large-scale delivery programs.
• Strong experience with Databricks, Spark, PySpark, SQL, Python, and AWS.
• Strong experience building enterprise-scale data platforms, data products, and integration solutions.
• Understanding of Data Fabric, Data Mesh, Lakehouse, metadata management, and governance.
• Experience delivering in Agile or SAFe environments.

Details

• Location: Hyderabad, India.