Sr Manager, Data Engineering

Insulet Corporation•San Diego, CA

1d•$168,800 - $253,250•Hybrid

About The Position

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.

Requirements

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
Deep architectural knowledge of Unity Catalog, including data lineage, row/column-level filtering, and external data shares (Delta Sharing).
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).
Expert-level knowledge of Terraform or cloud-native infrastructure automation.
Proficient with Python, PySpark, and SQL for pipeline optimization, custom platform alerting, and script automation.
Bachelor’s degree in Computer Science, Information Systems, or equivalent.
Experience in data quality assurance, control and lineage for large datasets in relational/non-relational databases
HIPAA experience a plus

Nice To Haves

Databricks Certified Platform Administrator or Databricks Certified Data Engineer Professional.
Experience in medical device, healthcare, or manufacturing industries is desirable

Responsibilities

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