Responsibilities may include the following and other duties may be assigned.
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.
Required Knowledge and Experience
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.
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
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Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.
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If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at AskHR@medtronic.com.
Benefits & Compensation
Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
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- This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
