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.

Digital Native Account Executive - West

Company: Databricks

Location: Other US Location

Posted Nov 21, 2022

The job posting is for a Digital Native Account Executive at Databricks, requiring 3+ years of experience with Open Source Technologies and build vs buy decision-making. The role involves selling to high growth, venture-backed companies, and requires a creative, fail-fast approach to selling and creating value for customers.

Software Engineer - New Grad (2023 Start)

Company: Databricks

Location: Silicon Valley CA

Posted Nov 22, 2022

Databricks is a company that helps data teams solve complex problems by building and running a data and AI infrastructure platform. They are hiring software engineers to work on their platform and offer a range of benefits.

Strategic Account Executive

Company: Databricks

Location: Remote

Posted Nov 16, 2022

Databricks is a leading company in the Unified Data Analytics and AI space, helping businesses solve complex problems with big data and AI. They are looking for a Strategic Account Executive to manage large enterprise accounts in Germany and drive growth.

Sr. Business Architect

Company: Databricks

Location: Silicon Valley CA

Posted Nov 22, 2022

Databricks is looking for a business process improvement professional to join their team. The role involves designing and optimizing key processes, owning operationalizing and delivering on the integrity of the future state solution, and enabling a tailored approach to meet customer/business needs.

Sr. Customer Success Engineer

Company: Databricks

Location: Seattle WA

Posted Nov 22, 2022

Databricks is looking for Customer Success Engineers to work with customers, build relationships, and help them become successful and enthusiastic Databricks champions. The role involves managing customer lifecycle, building relationships, and identifying new use cases to grow accounts.

Solutions Architect - (Federal)

Company: Databricks

Location: Washington DC

Posted Nov 16, 2022

The job description is for a Solutions Architect at Databricks, requiring expertise in cloud platforms, data engineering, data analytics, and data science. The role involves working with customers, teammates, and the product team to identify use cases and develop architectures and solutions using the Databricks platform.

Specialist Solutions Architect

Company: Databricks

Location: Remote

Posted Nov 18, 2022

The job posting is for a Specialist Solutions Architect (SSA) role at Databricks, a company that provides a lakehouse platform for data analytics and AI. The SSA will guide customers in building big data solutions on Databricks, and will work with Solution Architects to design and implement essential workloads. The role requires hands-on experience with Apache Spark and expertise in other data technologies. The company offers a range of benefits, including comprehensive health coverage, 401(k) plan, and flexible time off.

Senior Business Systems Analyst, Customer Success

Company: Databricks

Location: Brooklyn NY

Posted Nov 15, 2022

The job posting is for a Senior Business Systems Analyst position in the Customer Operations team at Databricks. The role requires skills and experience in project management, system administration, and business analysis. The company is committed to fostering a diverse and inclusive culture.

Senior Product Marketing Manager, Delta Lake

Company: Databricks

Location: Remote

Posted Nov 22, 2022

The job posting is for a product marketing role at Databricks, a company that unifies analytics, data engineering, machine learning, and streaming workloads on one platform. The role involves leading marketing for Delta Lake and storage, and requires experience in product marketing or solution marketing for an enterprise software or SaaS company.

Specialist Solutions Architect - Public Sector

Company: Databricks

Location: Washington DC

Posted Nov 15, 2022

The job posting is for a Specialist Solutions Architect on the Public Sector team at Databricks. The role involves guiding government agencies in building big data solutions on Databricks, working with customers, and providing technical leadership. The job requires expertise in big data technologies, cloud platforms, data science, and machine learning. The company offers a range of benefits, including comprehensive health coverage, 401(k) plan, and flexible time off.

VP, Federal Sales

Company: Databricks

Location: Washington DC

Posted Nov 13, 2022

Databricks is a company that provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. The company is seeking a seasoned and transformational Vice President, Federal Sales to serve as a key member of its regulated industries leadership team.

Data Scientist / Machine Learning Engineer

Company: Databricks

Location: Remote

Posted Dec 14, 2022

The role is a remote position within the Machine Learning (ML) Practice team at Databricks, offering customer-facing work, professional services, and teaching courses on production ML, distributed ML, and deep learning. The team values collaboration, life-long learning, and driving business value through ML. The role requires 4+ years of industry data science experience and experience building production-grade machine learning pipelines on AWS, Azure, or GCP. The team is committed to fostering a diverse and inclusive culture.

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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