Senior IT Supervisor - Data Engineering

Overview

Lead enterprise data, AI, and cloud initiatives across modern data platforms and engineering teams, combining technical leadership, people leadership, and program execution to drive data platform modernization.

What you'll do

• Lead the strategy, implementation, and operation of enterprise data platforms, including Databricks and Snowflake.
• Oversee the design and delivery of data pipelines, integrations, enterprise data models, and lakehouse architectures.
• Drive data modernization, migration, and platform transformation initiatives across cloud data environments.
• Partner with business stakeholders, architects, and technology teams to translate business requirements into scalable technical solutions.
• Manage platform operations, production support, incident resolution, root cause analysis, and service improvement activities.
• Optimize platform performance, resource utilization, and cloud consumption to improve scalability and cost efficiency.
• Establish and enforce data security, governance, compliance, access management, and operational standards.
• Lead, mentor, and develop technical teams while managing project delivery, resource planning, risks, and stakeholder communications.

What you'll need

• 10+ years of IT experience with a Bachelor's Degree in Engineering, MCA, MSc or MBA.
• Experience with Databricks, Snowflake, cloud data platforms, data engineering, data integration, lakehouse architecture, and enterprise data modeling.
• Experience leading enterprise data modernization, platform migration, production support, data governance, security controls, and performance optimization initiatives.
• Experience in program delivery, resource planning, stakeholder management, risk management, and people leadership.
• Knowledge of Artificial Intelligence (AI), Generative AI (GenAI), Continuous Integration/Continuous Deployment (CI/CD), test automation, data quality practices, Role-Based Access Control (RBAC), compliance controls, and IT service management processes.

Nice to have

• Previous Medtronic experience.
• Experience with Microsoft Azure or other cloud platforms, including cloud-native data services, security, monitoring, and FinOps practices.
• Knowledge of MLOps, large language models, agentic AI, intelligent automation, and responsible AI governance.
• Professional certifications in Databricks, Snowflake, cloud architecture, data engineering, AI/ML, ITIL, Agile, or project/program management.
• Experience supporting global enterprise environments with distributed and cross-functional teams.
• Experience in regulated industries such as healthcare, life sciences, or medical technology.

Details

• Location: Nanakramguda, Hyderabad, India.
• Eligible for the Medtronic Incentive Plan (MIP), a short-term incentive.