Senior Data Platform Engineer — Snowflake & Security
Listed on 2026-09-01
-
IT/Tech
Data Engineering
Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country’s largest healthcare providers to build technology solutions that help patients get better faster while decreasing the overall cost of care. The Data & Machine Learning team is building a secure, reliable data foundation that will power better decisions, intelligent product experiences, and improved care for millions of patients.
We hire in the following states: AZ, CO, FL, GA, , IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI.
Why work at Medbridge?
- We are mission driven. Our mission is clear—we want to help everyone move well, feel well, and live well.
- You’ll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. The content you create helps them stay informed and deliver better care.
- Our customers love Medbridge! We work with 9 of the top 10 private practice and hospital systems nationwide, and 6 of the top 10 home health organizations.
The Staff Data Engineer is the senior individual contributor responsible for Medbridge’s data-platform architecture, security, reliability, and data movement. This is a hands-on role for someone who can simplify a developing environment while introducing the engineering rigor required for internal analytics, secure external use, AI workloads, and data-powered product experiences. Success means creating a simpler, more reliable experience for data producers and consumers, not merely moving complexity into new tools.
The role partners closely with Analytics Engineering, Dev Ops, Data Science, Security, Product Engineering, ML, and the Integrations team, leading through influence rather than direct people management.
In this role you will:
- Own the target-state architecture and technical roadmap for Medbridge’s Snowflake-centered data platform, balancing security, reliability, usability, innovation, cost, and operational complexity.
- Build and operate reliable data pipelines and integrations using strong Python and SQL engineering practices, covering ingestion, incremental processing, schema evolution, failure handling, retries, reconciliation, observability, and recovery across key operational and SaaS data sources.
- Design and enforce Snowflake security and RBAC, applying least privilege, separation of duties, auditability, secure sharing, retention, monitoring, and appropriate access patterns for internal users, external use cases, service accounts, and AI workloads.
- Establish production-grade engineering and platform operations, including testing, version control, code review, CI/CD, secrets management, environment promotion, deployment and rollback, service expectations, monitoring, alerting, incident response, and recovery.
- Own data governance, contracts, and technical lineage, maintaining source-system ownership and inventory while establishing data contracts, schemas, interfaces, quality expectations, change management, deprecations, migrations, documentation, and clear communication of downstream impact.
- Enable secure and reliable data delivery and consumption, creating reusable patterns and interfaces that move data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products while making data easier to discover, understand, access, and trust.
- Lead cross-functional technical initiatives and raise engineering standards, partnering with Analytics Engineering, Dev Ops, Data Science, Security, Product Engineering, ML, and Integrations to establish pragmatic patterns, enable AI/ML workloads, evaluate build-versus-buy decisions, and continuously reduce unnecessary platform complexity.
What will make you succeed:
- Deep experience designing and operating cloud data platforms, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations in regulated environments; healthcare experience is a plus, not a requirement.
- Strong Snowflake expertise, including RBAC, contractual data separation, secure internal and external access patterns, secure views and sharing, warehouse and resource management, query and cost…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).