Jobs at Databricks

10,578 open positions

Databricks is the creator of the Lakehouse platform, blending data warehousing and data lake capabilities on top of Apache Spark. Their flagship product, Delta Lake, lets enterprises store, process, and analyze petabyte‑scale data with ACID guarantees and real‑time streaming. The company serves finance, healthcare, retail, and AI research clients, positioning itself as a key player in cloud‑native data analytics.

Databricks hires across engineering, data science, platform architecture, security, product management, and business development. Candidates can expect rigorous technical interviews, a culture that rewards experimentation, and opportunities to work on high‑impact projects that power real‑world analytics for Fortune 500 customers. Remote and hybrid options are common, and many teams operate cross‑continent with clear career ladders.

Job Transparency’s listings provide exact salary ranges, average base pay, and employee sentiment for every Databricks role. With this data, applicants can benchmark offers, negotiate proactively, and verify that the company’s culture matches their professional goals before applying.

Finance Manager, GTM

Company: Databricks

Location: San Francisco, CA

Posted Jun 11, 2023

The job posting is for a Finance Manager to join Databricks' FP&A team, focusing on supporting the Technical Field and helping partners achieve financial goals. The role requires 7+ years of FP&A experience, familiarity with the software industry, and strong financial modeling skills. The manager will work with Go-To-Market organizations, manage complex budgets, and implement system improvements for hyper-growth.

Head of Product Data Science

Company: Databricks

Location: San Francisco, CA

Posted Jun 10, 2023

Databricks is seeking a Head of Product Data Science to lead a team of data scientists and work directly with product managers and engineering leaders. The role involves uncovering new insights, identifying opportunities, and promoting customer experience and growth. The successful candidate will establish the roadmap for the team and implement projects in data science, AI, machine learning, and product insights.

Specialist Solutions Architect - Data Warehousing

Company: Databricks

Location: Remote

Posted Jun 07, 2023

Databricks is seeking a Specialist Solutions Architect (SSA) - Data Warehousing with 5+ years of experience in a customer-facing technical role. The role involves guiding customers in their cloud data warehousing transformation with Databricks, providing technical leadership, and proving the value of the Databricks Lakehouse Architecture. The ideal candidate should have expertise in data warehousing, production programming experience in SQL and Python, and deep specialty expertise with scaling big data workloads. The role offers comprehensive benefits and the opportunity to contribute to the Databricks Community.

Sr. Site Reliability Engineer

Company: Databricks

Location: Remote

Posted Jun 09, 2023

This is a role for a Senior Site Reliability Engineer on the security data infrastructure team at Databricks. The role involves building data infrastructure for the security team, including data pipelines to support threat detection, incident response, and compliance audits. The role requires experience with AWS, Azure, and GCP, as well as programming languages such as Python, Scala, and SQL. The role also involves building tools to detect and improve data quality, and performing on-call rotation to support production issues.

Big Data Architect

Company: Databricks

Location: Remote

Posted Jun 12, 2023

The job posting is for an Architect in the Professional Services team at Databricks. The role involves working with clients on big data challenges, providing data engineering, data science, and cloud technology projects, and consulting on architecture and design. The company offers a range of benefits and is committed to diversity and inclusion.

Senior Spark Technical Solutions Engineer

Company: Databricks

Location: Other US Location

Posted Jun 09, 2023

The job description is for a Spark Technical Solutions Engineer who will provide technical and consulting solutions for customers, troubleshoot issues, and assist in setting up reproducible spark problems. The role requires experience in designing, building, testing, and maintaining Python/Java/Scala based applications, and hands-on experience in performance tuning/troubleshooting of Hive and Spark based applications.

Sr. Sales Operations Analyst - Anaplan

Company: Databricks

Location: Other US Location

Posted Jun 08, 2023

Databricks is seeking a Sales Strategy & Operations Anaplan Analyst to join their team in the Sales organization. The role involves improving analysis, planning, scenario modeling, and reporting for the Sales organization, as well as supporting the building of tools for global territory carving and quota planning. The ideal candidate should be passionate about Anaplan and have experience with GTM planning, Anaplan, and data integration.

Certification Exam developer

Company: Databricks

Location: Remote

Posted Jun 11, 2023

The job description is for a Certification Exam Developer at Databricks, responsible for designing, developing, and maintaining Databricks accreditation and certification exams. The role involves working closely with global stakeholders, technical subject-matter-experts, and technical curriculum developers. The developer will own and maintain assessments for high-stakes, proctored certification exams and low-stakes, unproctored accreditation assessments. They will also develop test items, recruit and train SMEs, and ensure the currency and quality of test items. The role requires experience in developing technical assessments and maintaining professional certification exams. Databricks is committed to fostering a diverse and inclusive culture.

Specialist Solutions Architect - Data Engineering (Financial Services)

Company: Databricks

Location: Remote

Posted Jun 07, 2023

Databricks is seeking a Specialist Solutions Architect (SSA) - Data Engineering for the Financial Services team. The role involves guiding customers in building big data solutions on Databricks, working with Solution Architects, and providing technical leadership. The ideal candidate should have 5+ years of experience in a customer-facing technical role with expertise in data ingestion, streaming technologies, performance tuning, and big data solutions. The role offers comprehensive benefits and the opportunity to contribute to the Databricks community.

Sr. Events Manager

Company: Databricks

Location: Remote

Posted Jun 09, 2023

Databricks is seeking a Senior Event Marketing Manager with 8+ years of experience in managing marketing events. The role involves driving event components and work streams for corporate events including Data + AI Summit and World Tour. The candidate will collaborate with cross-functional stakeholders globally, ensuring high-impact events and improving best practices. Key responsibilities include general event management, overseeing end-to-end planning, and aligning with sales, sales dev, marketing, and enablement teams for sales strategy and enablement programs. The ideal candidate should have excellent communication skills, strong project management abilities, and experience with Salesforce.com, Asana, Tableau, and Marketo. Benefits include comprehensive health coverage, 401(k) Plan, equity awards, flexible time off, and more.

Staff Product Manager, Network Security

Company: Databricks

Location: San Francisco, CA

Posted Jun 12, 2023

The job posting is for a Senior Product Manager to lead all aspects of multi-cloud networking and network security for the Lakehouse platform. The role involves driving the product strategy for end-to-end private and secure connectivity between users, workloads, and data. The successful candidate will create elegant yet simple policy models that enable customers to control access to their most important assets. The impact of this role will be to make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.

Solutions Architect

Company: Databricks

Location: Chicago, IL

Posted Jun 08, 2023

The job posting is for experienced pre-sales professionals to help large enterprises become more data-driven. The role involves working with the Account Executive to define and direct the technical strategy for the largest and important accounts, leveraging a solid background in value selling, technical account management, and technical leadership. The successful candidate will work with a team that includes hands-on resources to build proofs of concept and demonstrate Databricks' products. The impact of the role will be working with 1-2 clients as the main technical voice for Databricks, leading their transformational journey, implementing the technical strategy, and building a movement of technical champions within the account.

Frequently Asked Questions

What is it like to work at Databricks?
Employees describe Databricks as a fast‑moving, data‑centric environment that encourages deep technical ownership. The company offers robust mentorship programs, regular hackathons, and a culture that rewards experimentation with new ML models and stream‑processing pipelines. Remote work is supported, but on‑site teams in Chicago, San Francisco, and Washington, D.C. meet weekly for cross‑functional syncs. Career growth is transparent, with documented promotion tracks and frequent performance reviews that focus on measurable impact.
What types of positions are available at Databricks?
Databricks posts roles in software engineering, infrastructure and platform engineering, data engineering, machine learning research, security engineering, product management, user experience design, marketing, sales, and customer success. Each role typically requires experience with Python, Scala, or Java, strong problem‑solving skills, and familiarity with cloud platforms such as AWS, Azure, or GCP. Data‑focused positions often involve building or optimizing Delta Lake workloads, while platform roles focus on expanding the Lakehouse API and improving performance at scale.
How can I stand out as an applicant for Databricks?
Showcase hands‑on experience with Spark or Delta Lake by sharing GitHub repositories or open‑source contributions. Prepare for technical interviews by mastering distributed systems concepts, algorithm design, and coding in your chosen language. Highlight any real‑world data‑engineering projects where you improved performance or reliability at scale. During the interview, demonstrate curiosity by asking about the company’s roadmap for Lakehouse, and convey how you can accelerate that vision with your unique skill set.

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