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
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Databricks

Sr. Forward Deployed Engineer - Public Sector

One Month AgoSaved
In-Office or Remote
12 Locations
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.
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Databricks

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

One Month AgoSaved
In-Office or Remote
Los Angeles, CA, USA
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.
see all jobs at Databricks