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.

Senior Manager, Product Security

Company: Databricks

Location: Remote

Posted May 09, 2023

None Found

IT Support Specialist

Company: Databricks

Location: San Francisco, CA

Posted May 11, 2023

Databricks is seeking an experienced IT Support Specialist to help scale and optimize business processes, improve productivity, and provide in-person service at their San Francisco office. The role involves resolving technical issues, providing exceptional customer service, and applying deep troubleshooting skills to facilitate exceptional customer interactions.

Senior IT Product Manager (Workday Payroll)

Company: Databricks

Location: San Francisco, CA

Posted May 09, 2023

None Found

Journey Architect, Digital Self Service

Company: Databricks

Location: Other US Location

Posted May 09, 2023

None Found

Sr. Staff People Partner

Company: Databricks

Location: Other US Location

Posted May 11, 2023

The text describes a leadership role within the People Partners function at Databricks, focusing on strategic HR partnership, cross-functional leadership, and driving organizational change. The role involves working with senior leadership, building trusted executive relationships, and creating company-wide talent programs. The individual will also be responsible for organizational design, employee relations, culture, and talent enablement to support Databricks' extraordinary growth.

Senior Technical Writer

Company: Databricks

Location: San Francisco, CA

Posted May 10, 2023

Databricks is seeking a technical writer to join their team. The role involves creating documentation for data science and data engineering lifecycle, collaborating with engineers and product managers, and managing contributed articles. The company offers a range of benefits and is committed to diversity and inclusion.

Senior Manager, Technical Writing

Company: Databricks

Location: San Francisco, CA

Posted May 10, 2023

Databricks, a company specializing in data analytics and AI, is seeking a technical writer with a strong background in data science, data engineering, and business analytics. The role involves managing a team of technical writers, creating high-impact documentation, collaborating with engineers and product managers, and guiding an information-architecture approach to organizing content. The ideal candidate should have 7+ years of experience documenting technologies for developers and IT professionals, experience with big data technologies, and proficiency in HTML, lightweight markup, and Git. Databricks offers comprehensive benefits including health coverage, 401(k) Plan, equity awards, flexible time off, and more.

Staff Data Architect

Company: Databricks

Location: San Francisco, CA

Posted May 12, 2023

Databricks is seeking a Staff Data Architect to lead the design, implementation, management, and scaling of their internal lakehouse architecture using Databricks' product set. The role involves working closely with leadership and business partners to define the vision and strategy for data products and solutions. The candidate should have a minimum of 8 years of experience in enterprise data management and architecture with a software development background.

Digital Native Account Executive

Company: Databricks

Location: Other US Location

Posted May 11, 2023

The job description is for a Digital Native Account Executive at Databricks, a lakehouse company. The role involves selling to high-growth, venture-backed companies and closing new accounts while growing existing ones. The company offers accelerators above 100% quota accomplishment and provides a creative, fail-fast approach to selling. The benefits include a benefits allowance, equity awards, paid parental leave, gym reimbursement, annual personal development fund, work headphones reimbursement, and business travel insurance. Databricks is committed to fostering a diverse and inclusive culture.

Engineering Manager - PySpark

Company: Databricks

Location: San Francisco, CA

Posted May 10, 2023

None Found

Sr. Engineering Manager - Platform

Company: Databricks

Location: Other US Location

Posted May 10, 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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