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

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Databricks

Sr. Forward Deployed Engineer (FDE) - Financial Services

One Month AgoSaved
In-Office or Remote
Charlotte, NC, USA
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead technical strategy for customer accounts, design scalable data engineering and real-time analytics architectures, and drive Databricks adoption. Advise senior customer stakeholders, lead architecture discussions, develop custom solutions for competitive opportunities, coordinate cross-functional teams, and influence product direction. The role requires deep expertise in Spark, Kafka, data warehousing, cloud platforms, Python, SQL, distributed systems, and production deployments. Travel may reach 30%.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.
see all jobs at Databricks