Leads the design of production data systems for a team and its domains within Labs & CMC, defining architectural, quality, and governance standards, leading AI-grade data infrastructure, and mentoring junior and mid-level engineers.
Responsibilities
Design and build production data pipelines for specific Labs and CMC domain
Implement and enforce patterns for agent-generated work
Integrate digital workers into orchestration and observability workflows
Lead response to significant data quality incidents
Set context standards for Labs & CMC domains (definitions, contracts, classification, lineage)
Requirements
Bachelor's degree in Computer Science, Data Engineering or a related field, or equivalent practical experience
Nice to have: Technical lead for data platforms
Nice to have: Catalogue, metadata, semantic or lineage infrastructure experience
Nice to have: Experience in highly regulated industries (life sciences)
The Sr. Staff Platform / Data Reliability Engineer is responsible for making Databricks a reliable, secure, scalable, and operationally mature platform for enterprise use, focusing on the platform layer including reliability, observability, deployment standards, and platform enablement patterns.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Own operational excellence for the Databricks platform, including monitoring, alerting, observability, incident response support, and production runbook patterns for data jobs and platform services.
Define and maintain CI/CD and promotion standards for Databricks assets, including workflows, jobs, notebooks, code packages, infrastructure configuration, and environment promotion from dev to prod.
Design and maintain platform standards for job orchestration, cluster and compute policies, service principal usage, environment isolation, and production execution reliability.
Establish reusable operational templates and enablement patterns for new domains onboarding to Databricks, including logging conventions, job tagging, metadata capture, and support handoff expectations.
Partner with the Senior Data Engineer to ensure ingestion and medallion patterns are implemented in a way that is observable, recoverable, cost-aware, and secure in production.
The Bluesight Customer Data Engineer owns data integration with our customers, ensuring they get value from Bluesight's platform quickly and seamlessly. The role involves technical pre-sales, data discovery, and implementation support.
Head of DataSheMed · London, United Kingdom
Sr. Staff Platform/Data Reliability Engineer, Databricksf7d8749a-72d6-407c-bf98-292ea630c73a · Remote
Customer Data Engineer - Pre-SalesBluesight · Remote, US