Sr Manager, Data Engineering

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.

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.

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

• 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

Occasional travel may be required.

Additional Information

• Compensation & Benefits: For U.S.-based positions only, the annual base salary range for this role is $168,800.00 - $253,250.00. This 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 programs.

Application Details

To apply, please visit the Insulet Careers site and submit your application online.