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.

Specialist Solutions Architect - Platforms & Infrastructure

Company: Databricks

Location: Remote

Posted Jan 30, 2023

The job posting is for a Specialist Solutions Architect (SSA) role at Databricks, requiring 5+ years of experience in DevOps or Demo Engineering, technical expertise in Azure, AWS, or Google Cloud, and experience building and refining automation tools for cloud infrastructures. The role involves providing technical leadership, designing data solutions, and contributing to the Databricks Community.

Sr. Manager, Payroll

Company: Databricks

Location: Other US Location

Posted Jan 27, 2023

None Found

Sr. Revenue Operations Analyst

Company: Databricks

Location: San Francisco, CA

Posted Jan 28, 2023

None Found

Specialist Solutions Architect - Public Sector

Company: Databricks

Location: Washington DC

Posted Feb 03, 2023

This role involves guiding customers in building big data solutions on Databricks, working with Solution Architects, and having hands-on experience with Apache Spark. The SSA will help customers through design and implementation of essential workloads, aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. The role also includes mentorship, learning, and internal training programs to establish oneself in an area of specialty.

Solutions Architect- Financial Services

Company: Databricks

Location: Boston, MA

Posted Jan 26, 2023

None Found

Enterprise Account Executive, High-Tech & MFG

Company: Databricks

Location: Other US Location

Posted Feb 02, 2023

Databricks is seeking an Enterprise Account Executive to sell its cloud data platform to enterprise customers. The ideal candidate has experience in selling to enterprise accounts, is passionate about communicating the value of the product, and has a track record of exceeding quotas.

Sr. Workplace Specialist

Company: Databricks

Location: San Francisco, CA

Posted Jan 31, 2023

The Real Estate & Workplace Facilities Site Manager will lead Databricks' San Francisco operations, with full responsibilities for their Headquarters location. This is an exciting opportunity to grow the Bay Area support team and manage important 3rd party relationships that will be the backbone of their growth. The position reports directly to the West Coast REW Regional Manager.

Finance Manager, Professional Services

Company: Databricks

Location: Remote

Posted Jan 30, 2023

Databricks is looking for an excellent Finance Manager to join their FP&A team. The role involves managing the global Services P&L, forecasting financial results, and building financial models. The company offers a range of benefits and is committed to diversity and inclusion.

Strategic Account Executive - Financial Services

Company: Databricks

Location: Other US Location

Posted Jan 25, 2023

None Found

Solutions Architect

Company: Databricks

Location: Washington DC

Posted Feb 03, 2023

The job posting is for a Solutions Architect role at Databricks, a data and AI company. The role involves working with customers, teammates, and product teams to identify use cases for Databricks, develop architectures and solutions using their platform, and guide customers through implementation. The candidate should have 3+ years of experience in customer-facing pre-sales, technical architecture, or consulting roles, and be comfortable with data engineering technologies, data warehousing, and data science and machine learning technologies. The role requires travel to customers in the region.

Staff Product Manager, Serverless Compute Performance

Company: Databricks

Location: San Francisco, CA

Posted Jan 28, 2023

None Found

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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