Job Summary
Join Insulet at a pivotal time of rapid growth and innovation, where data is central to advancing our mission of improving lives with our OmniPod technology. This role is critical to scaling Insulet's global analytics capabilities, translating complex data into meaningful business and patient impact, and accelerating smarter decision-making across the organization. By shaping how insights are generated and leveraged across functions-from product development to manufacturing-you will play a key role in driving operational excellence, enhancing patient outcomes, and strengthening Insulet's leadership in diabetes technology.
Position Overview:

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump, transforming the lives of people with diabetes through innovation. We are seeking a Data Engineering Manager to lead our Data Engineering Platform team in building and maintaining the world class Data and AI platform. Join a fast-paced, mission-driven medical device company where data plays a critical role in improving patient outcomes and operational excellence.

As a Sr Manager, Data Engineer Operations, you'll lead a team of talented data and platform engineers responsible for designing, building and delivering secure, scalable data platform serving directly to our internal and external stakeholders in Commercial, Sales, Marketing, Market Access, Product launches and several other initiatives. We are seeking a highly technical, hands-on to serve as the principal owner and administrator of our enterprise Data Platform. In this role, you will lead the operational health, security, governance, and delivery pipelines of our Databricks environments.

You will be directly responsible for designing and enforcing security controls (RBAC/ABAC), establishing mature data governance frameworks utilizing Databricks Unity Catalog, automating workspace deployment, and instilling DevSecOps practices through robust CI/CD pipelines.

You'll be a key contributor organizing and helping the team with managing the backlog of work items building in collaboration with technical leads and stakeholders for our Databricks-based data infrastructure, ensuring it meets the rigorous standards of the medical device industry. This is a unique opportunity to blend technical expertise with product ownership, helping to drive innovation.

We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters-and where you'll grow alongside a team of talented engineers and healthcare professionals-this is the place for you.

Responsibilities:

• Platform Governance & Unity Catalog Management: Own the architecture, deployment, and daily management of Databricks Unity Catalog across dev, test, and production environments.

• Define and enforce catalog structures, schemas, external locations, storage credentials, and metadata tagging standards.

• Security & Access Control (RBAC/ABAC): Design and implement fine-grained access control policies using Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).

• Manage service principals, identity federation (IdP), system privileges, and secure secrets management via cloud Key Vaults integrated into Databricks secret scopes.

• Workspace & Infrastructure Automation: Oversee multi-workspace administration, including cluster policies, compute governance, runtime versions, and SQL Warehouses.

• Provision and scale workspaces programmatically using Infrastructure as Code (IaC) tools like Terraform.

• CI/CD & DevSecOps Lifecycle: Build, optimize, and maintain CI/CD workflows for data assets using modern DevOps tooling (GitHub Actions, Azure DevOps, or GitLab CI).

• Incorporate Databricks Asset Bundles (DABs) or Databricks CLI into pipelines to enable seamless code promotion, automated testing, and environment consistency.

• FinOps & Performance Optimization: Monitor platform usage, analyze audit logs, and establish dashboards to track platform spend.

• Implement autoscaling policies, spot instance strategies, and cluster-sizing guardrails to control cloud spend without impacting business SLAs

• Team Leadership & Operational Reliability: Manage and mentor a small team of Platform Engineers/DataOps analysts while driving collaborative standards with downstream Data Engineering and AI/ML teams.

• Act as the primary incident manager for critical platform disruptions, defining SLIs/SLOs for data availability.

• Advanced AI Lifecycle Knowledge: Modern understanding of AI Agent architectures, Retrieval-Augmented Generation (RAG) pipelines, and open integration protocols like MCP (Model Context Protocol).

Education and Experience:

• Experience: 10+ years in Data Operations, Platform Engineering, or Data Architecture, with a minimum of 5+ years specifically serving as a lead administrator/architect for enterprise-scale Databricks environments.

• Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field; or a BS with experience working with data technologies, is preferred

• Data Governance Expertise: Deep architectural knowledge of Unity Catalog, including data lineage, row/column-level filtering, and external data shares (Delta Sharing).

• Security Acumen: Strong execution of cloud data security principles, including identity management, IAM policies, network security (VPC/VNet injection, Private Links), and compliance regulations (e.g., SOC2, HIPAA, or GDPR).

• Automation & Tooling: Expert-level knowledge of Terraform or cloud-native infrastructure automation.

• Programming & Big Data: Proficient with Python, PySpark, and SQL for pipeline optimization, custom platform alerting, and script automation.

• Education/Certifications: Bachelor's degree in Computer Science, Information Systems, or equivalent. Preferred: Databricks Certified Platform Administrator or Databricks Certified Data Engineer Professional.

• Experience in data quality assurance, control and lineage for large datasets in relational/non-relational databases

• Experience in medical device, healthcare, or manufacturing industries is desirable

• HIPAA experience a plus

Physical Requirements (if applicable):

• Occasional travel may be required:

NOTE: This position is eligible for hybrid working arrangements and requires on-site work from an Insulet office.

Additional Information:
Compensation & Benefits:For U.S.-based positions only, the annual base salary range for this role is $168,800.00 - $253,250.00This position may also be eligible for incentive compensation.We offer a comprehensive benefits package, including:• Medical, dental, and vision insurance• 401(k) with company match• Paid time off (PTO)• And additional employee wellness programsApplication Details:This job posting will remain open until the position is filled.To apply, please visit the Insulet Careers site and submit your application online.Actual pay depends on skills, experience, and education.