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 Group Manager, Marketing Automation & Technology

Company: Databricks

Location: Remote

Posted Aug 01, 2023

The job posting is for a Senior Group Manager, Marketing Automation and Technology role at Databricks. The role involves developing strategic solutions for new marketing capabilities, partnering with cross-functional teams, and coaching and guiding a high-performing team. The impact of the role includes implementing, integrating, and roadmapping homegrown and external marketing technology, identifying and leading projects, analyzing and addressing data issues, supporting training and user adoption, and leading a team responsible for managing the marketing technology stack, data strategy, and automation systems.

Staff Product Manager, Network Security

Company: Databricks

Location: San Francisco, CA

Posted Aug 02, 2023

Databricks is seeking a Senior Product Manager to lead all aspects of multi-cloud networking and network security for the Lakehouse platform. The ideal candidate will have 8+ years of product management experience with enterprise or SaaS products, background in cloud networking and/or policy-based network security, and experience partnering with senior engineering leadership. The role requires driving business results through influential leadership across multiple partner teams and simplifying user experience of technically complex products.

Sr. Engagement Manager

Company: Databricks

Location: Remote

Posted Jul 31, 2023

The Sr. Engagement Manager is responsible for establishing a deeper partnership with customers by creating a dedicated line of sight to successful architecture and use of the Databricks platform. They aim to exceed customer satisfaction expectations throughout the life-cycle, from orchestrating the engagement to from vision to delivery and beyond. The manager will also position, prepare, manage the delivery and follow-up of professional services and training engagements. They will work closely with Sales, Customer Success, Support and Product Teams on campaigns, programs, and content. The manager will perform as the Engagement Manager in the assigned area and meet/exceed Professional Services and Training bookings and revenue targets.

Senior Staff Product Manager, Data Apps

Company: Databricks

Location: Seattle, WA

Posted Aug 02, 2023

Databricks is seeking a technical product leader to build the Lakehouse Apps platform, which will enable developers and ISVs to build, run, distribute, and monetize data and AI applications on Databricks. The role involves leading product development, coordinating activities across the organization, growing the developer community, and growing the ISV partner ecosystem. The ideal candidate has experience as a Product Manager or Engineering lead, building developer-facing products, and building or working with application marketplaces and services based on cloud-native technologies.

Manager, Sales Development

Company: Databricks

Location: Chicago, IL

Posted Jul 31, 2023

Databricks is seeking an experienced Sales Development Manager to lead a team of SDR/BDRs, coach early-stage sales professionals, and work with leadership to ensure campaign success. The role requires 3+ years of SDR management experience, 3+ years in sales, and experience managing outbound pipeline generation. The company offers comprehensive health coverage, 401(k) Plan, equity awards, flexible time off, paid parental leave, gym reimbursement, and an annual personal development fund. The pay range is $122,900 - $217,400 USD.

Finance Manager, GTM

Company: Databricks

Location: San Francisco, CA

Posted Aug 01, 2023

Databricks is seeking a Finance Manager to join their FP&A team and support the Technical Field in achieving financial goals. The role involves developing forecasts, managing budgets, and improving financial processes. The ideal candidate should have 7+ years of FP&A experience, familiarity with the software industry, and experience working with Go-To-Market organizations.

Sr Software Engineer - Large Language Models

Company: Databricks

Location: San Francisco, CA

Posted Jul 31, 2023

Databricks is seeking an engineer to work on large language models (LLMs) and contribute to the democratization of AI across various industries. The role involves working on challenging problems, collaborating with cross-functional teams, and fostering a creative environment. The impact of the role includes driving development and deployment of AI models, architecting ML infrastructure, and contributing to the broader AI community.

Sr. Financial Analyst

Company: Databricks

Location: San Francisco, CA

Posted Aug 01, 2023

Databricks is seeking a Senior Financial Analyst to join their Product Finance team in the FP&A organization. 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). The position involves developing and maintaining KPI dashboards, unit economics baseline models, and automated tracking of key KPIs. The ideal candidate should have a Bachelor's Degree in Business, Finance, Economics, or a comparable quantitative field, 2-5 years of experience with financial modeling and data analytics, and experience with SQL, BI reporting tools, Anaplan, and Excel.

Staff Applied Machine Learning Engineer

Company: Databricks

Location: San Francisco, CA

Posted Aug 02, 2023

This job posting is for a Staff Applied ML Engineer position at Databricks, a high-growth data and AI company. The role involves working on the team that created Dolly LLM to build intelligent systems for various industries. The team works on challenging problems, including designing large-scale distributed AI/ML systems, optimizing GPU model serving, and developing novel modeling methodologies. The impact of this role includes shaping the direction of applied ML areas, driving the development and deployment of AI models, architecting ML infrastructure, and contributing to the broader AI community.

Senior Staff Product Manager, Data Apps

Company: Databricks

Location: San Francisco, CA

Posted Aug 02, 2023

Databricks is seeking a technical product leader to build the Lakehouse Apps platform, which will enable developers and ISVs to build, run, distribute, and monetize data and AI applications on Databricks. The role involves leading product development, coordinating activities across the organization, growing the developer community, and growing the ISV partner ecosystem. The ideal candidate has experience as a Product Manager or Engineering lead, building developer-facing products, and building or working with application marketplaces and services based on cloud-native technologies.

Head of Product Data Science

Company: Databricks

Location: San Francisco, CA

Posted Jul 31, 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 to empower them with data-driven insights and solutions. The role involves digging into data to uncover new insights, identify opportunities, and promote customer experience and growth. The Head of Product Data Science will establish the roadmap for the team and implement projects in data science, AI, machine learning, and product insights. They will also partner with engineering teams to create requirements for the Databricks product.

Staff Product Designer, Data Visualization

Company: Databricks

Location: Seattle, WA

Posted Aug 01, 2023

Databricks is seeking a Product Designer to lead data visualization product features and initiatives, empower customers to build insightful graphs and visualizations, and develop ways for data visualizations to be shared easily across the enterprise. The ideal candidate should have a unique combination of technical knowledge and visual design skills, as well as experience designing products in the Big Data space and coding Python, R, SQL.

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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