20 часов назад
Sr Manager, Data Engineering (Databricks)
168 800 - 253 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Manager, Data Engineering (Databricks): Building and operating secure, scalable Databricks data platforms across development, test, and production environments with an accent on Unity Catalog governance, access control, infrastructure automation, and CI/CD. Focus on managing platform reliability, optimizing cloud spend, leading platform engineers, and supporting AI lifecycle capabilities including RAG pipelines and MCP integrations.
Location: San Diego, California, United States. Hybrid working arrangement with required on-site work from an office; occasional travel of less than 10% may be required.
Annual base salary: $168,800–$253,250, with potential incentive compensation.
Company
is a medical device company developing the Omnipod tubeless insulin pump and other drug-delivery technologies for people with diabetes and other conditions.
What you will do
- Own the architecture, deployment, governance, and daily administration of Databricks Unity Catalog across development, test, and production environments.
- Design and enforce RBAC and ABAC security controls, identity federation, service-principal management, secrets management, and cloud data security.
- Administer multiple Databricks workspaces, including cluster policies, compute governance, SQL Warehouses, runtime versions, and infrastructure scaling.
- Automate workspace provisioning and data-asset delivery using Terraform, Databricks Asset Bundles or CLI, and CI/CD pipelines.
- Monitor platform usage and audit logs, optimize performance and cloud spend, and establish autoscaling, spot-instance, and cluster-sizing controls.
- Lead and mentor Platform Engineers and DataOps analysts, manage critical incidents, define data-availability SLIs/SLOs, and collaborate with Data Engineering and AI/ML teams.
Requirements
- 10+ years of experience in Data Operations, Platform Engineering, or Data Architecture, including 5+ years administering or architecting enterprise-scale Databricks environments.
- Deep knowledge of Unity Catalog, data lineage, row- and column-level filtering, external data shares, and data governance.
- Strong experience with cloud data security, IAM, network security, VPC/VNet injection, Private Links, and compliance frameworks such as SOC 2, HIPAA, or GDPR.
- Expert-level Terraform or cloud-native infrastructure automation skills, with proficiency in Python, PySpark, and SQL.
- Bachelor’s degree in Computer Science, Information Systems, or an equivalent field; a master’s degree in a related STEM discipline is preferred.
- Must be able to work on-site from an office in San Diego under the hybrid arrangement.
Nice to have
- Databricks Certified Platform Administrator or Databricks Certified Data Engineer Professional certification.
- Experience in medical devices, healthcare, manufacturing, data quality assurance, or large relational and non-relational datasets.
- Experience with HIPAA, AI agent architectures, RAG pipelines, or MCP.
Culture & Benefits
- Mission-driven environment focused on improving patient outcomes through diabetes technology.
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Paid time off and employee wellness programs.
- Collaborative work with data engineers, AI/ML teams, healthcare professionals, and cross-functional stakeholders.
Hiring process
- Submit an online application through the Careers site.
- The posting remains open until the position is filled.
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