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 Network Engineer

Company: Databricks

Location: Other US Location

Posted Mar 03, 2023

Databricks is seeking a Senior Network Engineer to grow and scale their campus Network infrastructure and zero trust framework. The role involves building out a scalable network infrastructure, building automation, and meeting security and compliance needs. The candidate should have 5+ years of experience in designing and building highly redundant network infrastructure for campus networks with an emphasis on ZeroTrust, SD-WAN, and Wireless.

Enterprise Account Executive, State Department

Company: Databricks

Location: Washington DC

Posted Mar 03, 2023

The text describes a sales role for an Enterprise Account Executive at Databricks in the Public Sector segment. The role involves managing complex sales-cycles, closing deals, and promoting Databricks' enterprise cloud data platform. The company offers accelerators for closing deals and values customer satisfaction. The ideal candidate should have experience in early-stage companies, field sales, big data, cloud, or SaaS sales, and a background in cloud technologies.

Sr Solutions Architect

Company: Databricks

Location: Other US Location

Posted Mar 02, 2023

The text describes a customer-facing role at Databricks as a Solutions Architect, where the individual will work with customers, teammates, and product teams to develop architectures and solutions using the Databricks Unified Analytics Platform. The role requires expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. The individual will report to the Field Engineering Manager. The role requires 3+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role. US Citizenship is required. The role offers comprehensive health coverage, 401(k) Plan, equity awards, flexible time off, paid parental leave, gym reimbursement, annual personal development fund, and Employee Assistance Program (EAP).

Pre-Sales Solutions Architect

Company: Databricks

Location: Remote

Posted Mar 01, 2023

This job posting is for a Pre-sales Solutions Architect position at Databricks, a lakehouse company. The role involves guiding the technical evaluation phase in a hands-on environment, acting as a technical advisor, and working with the product team to help customers achieve tangible data-driven outcomes using Databricks' lakehouse platform. The candidate should have pre- or post-sales experience, proven expertise in data, experience designing and implementing architectures within a public cloud, and experience with big data technologies such as Spark, Hadoop, and Cassandra.

Enterprise Account Executive, Commerce

Company: Databricks

Location: Washington DC

Posted Mar 03, 2023

The text is a job description for an Enterprise Account Executive position at Databricks. The role involves managing complex sales cycles, closing deals, and promoting the Databricks platform. The company offers accelerators for meeting or exceeding quotas. The ideal candidate should have experience in early-stage companies, field sales, and big data or cloud sales. Databricks is a lakehouse company with a global presence, offering comprehensive benefits and a mission to help data teams solve complex problems.

Sr. Specialist Solutions Engineer

Company: Databricks

Location: Remote

Posted Feb 28, 2023

The text describes a role within the Specialist Solutions Architect (SSA) organization at Databricks, where the individual will guide customers in building big data solutions on Databricks, working alongside and in support of Solution Architects. The role requires hands-on production experience with Apache Spark and expertise in other data technologies. The individual will help customers through design and successful implementation of critical workloads while aligning with the technical roadmap for expanding the usage of the Databricks Lakehouse Platform. The role also involves mentoring, learning, and establishing oneself in an area of specialty.

Senior Software Engineer - Backend

Company: Databricks

Location: Other US Location

Posted Mar 07, 2023

Databricks is a company that helps data teams solve complex problems using their lakehouse platform. They are looking for a software engineer with a backend focus to work on various projects such as resource management infrastructure, service platforms, and machine learning infrastructure. The company offers comprehensive health coverage, 401(k) plan, equity awards, flexible time off, and more. They are committed to fostering a diverse and inclusive culture.

Sr. Analyst, Sales Strategy

Company: Databricks

Location: Other US Location

Posted Mar 01, 2023

Databricks is seeking a Senior Analyst, Sales Strategy to manage the development of data analysis and processes for the Sales Development team. The role involves leading ongoing performance analysis, guiding strategic business planning, and creating quarterly and annual reports. The ideal candidate should have 5+ years of experience in an operational or strategy role at a top-tier technology company, be proficient in data analysis tools, and excel in a collaborative environment.

Senior Pre-Sales Solutions Architect (Financial Services)

Company: Databricks

Location: Remote

Posted Mar 02, 2023

Databricks is seeking a Senior Pre-sales Solutions Architect to guide the technical evaluation phase in a hands-on environment throughout the sales process. The role involves working with the product team as an advocate of customers, helping them achieve tangible data-driven outcomes through the use of Databricks' lakehouse platform. The candidate should have pre-sales experience, experience with big data technologies, and fluency in Python or R. The role is based in San Francisco with offices around the globe.

Staff Software Engineer - Data Platform

Company: Databricks

Location: San Francisco, CA

Posted Mar 04, 2023

Databricks is a company that enables data teams to solve complex problems using its data and AI infrastructure platform. They build technical products that fulfill real needs, operate with resilience and security, and have a large-scale software platform. As a Staff Software Engineer, you will help build the data platform, design and run the Data Lakehouse, develop tooling and infrastructure, and represent Databricks at conferences.

Sr. Backline Engineer - Platform

Company: Databricks

Location: Remote

Posted Feb 25, 2023

Databricks is seeking a Backline Technical Solutions Engineer with 6+ years of experience in developing, testing, and sustaining Python or Java or Scala-based applications. The role involves troubleshooting complex customer issues related to the Databricks Unified Analytics Platform, providing best practice guidance, and contributing to automation and tooling programs. The candidate will also partner with the engineering team, identify supportability features, and participate in on-call rotations. Databricks offers comprehensive benefits including health coverage, 401(k) Plan, equity awards, flexible time off, and more. The company is committed to fostering a diverse and inclusive culture.

Staff Data Scientist

Company: Databricks

Location: San Francisco, CA

Posted Mar 04, 2023

Databricks is a global organization with over 1000 employees, helping thousands of organizations, from small to Fortune 100, with their mission-critical workloads. They develop and operate one of the largest scale software platforms, generating terabytes of logs and processing exabytes of data per day. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges.

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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