Databricks

HQ
San Francisco
Total Offices: 8
2,200 Total Employees
Year Founded: 2013
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Databricks Benefits Overview

Compensation + BenefitsCompany CultureWork-Life Balance + WellbeingCareer Growth + Development

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Provides a pension

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Company Culture

Provides commuter benefits

Offers travel concierge services

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

See all jobs at Databricks
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead Databricks-centric customer engagements delivering data engineering, data science, and cloud solutions. Design and deploy end-to-end data architectures, implement and optimize Apache Spark workloads, guide migrations, provide escalated operational support, manage technical project delivery, document/whiteboard solutions, and collaborate with stakeholders. Travel to customers ~20%.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing technical leader guiding enterprise customers through cloud data engineering and lakehouse transformations. Architect and optimize large-scale ETL/streaming pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, and drive adoption through workshops and community engagement.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Serve as a trusted technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures. Provide platform administration, networking and identity guidance, build PoCs for pre-sales, automate deployments with IaC, mentor peers, and promote adoption via community content and events.
see all jobs at Databricks