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

Company: Databricks

Location: Remote

Posted Jan 25, 2023

None Found

Staff Product Manager - Identity

Company: Databricks

Location: Seattle, WA

Posted Jan 24, 2023

None Found

Sr. Performance Engineer

Company: Databricks

Location: Other US Location

Posted Jan 13, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They are committed to fostering a diverse and inclusive culture and offer various benefits to their employees.

Senior Software Engineer - Backend

Company: Databricks

Location: Other US Location

Posted Jan 16, 2023

Databricks is a company that helps data teams solve complex problems using their data and AI infrastructure platform. They are looking for a software engineer with a backend focus to work on various projects such as resource management infrastructure, reliable services, and tools for operating services across different clouds. They offer comprehensive health coverage, 401(k) plan, equity awards, flexible time off, and more. They are committed to fostering a diverse and inclusive culture.

Sr. Engineering Manager

Company: Databricks

Location: Other US Location

Posted Jan 16, 2023

Databricks is a company that helps data teams solve complex problems by building and running a data and AI infrastructure platform. They are looking for an Engineering Manager to lead a team in building a highly available, scalable, and reliable platform.

Strategic Sourcing Manager - Technology

Company: Databricks

Location: Remote

Posted Jan 16, 2023

The text describes a strategic sourcing role with a focus on improving spend under management, developing processes, and implementing sourcing and negotiation strategies. The role involves partnering with multiple teams, leading vendor negotiations, and managing global procurement responsibilities. The individual is expected to deliver price optimization and cost savings, manage contracts, and improve supplier performance.

Staff Software Engineer - Data Platform

Company: Databricks

Location: San Francisco, CA

Posted Jan 13, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They are looking for a Staff Software Engineer to build the data platform and work on large-scale data pipelines.

Engineering Manager - Machine Learning Platform

Company: Databricks

Location: Other US Location

Posted Jan 16, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They are looking for an Engineering Manager to build the platform at the intersection of data science and distributed systems.

Senior Product Manager, Network Security

Company: Databricks

Location: San Francisco, CA

Posted Jan 24, 2023

None Found

Staff Data Scientist

Company: Databricks

Location: San Francisco, CA

Posted Jan 13, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They have a strong commitment to diversity and inclusion and offer a range of benefits to their employees.

Customer Success Engineer

Company: Databricks

Location: Other US Location

Posted Jan 20, 2023

The text describes a job posting for a Customer Success Engineer role at Databricks. The role involves working with customers to improve value, offer advice, and grow accounts. The candidate should have experience in customer-facing technical roles, be familiar with SaaS companies and cloud architectures, and have problem-solving skills. The role also involves working with various teams to manage the customer lifecycle, strategize, and identify new use cases. The candidate should have a Bachelor's degree in computer science or a related field and be fluent in Python, SQL, and cloud services such as AWS or Azure. The company offers comprehensive health coverage, 401(k) Plan, equity awards, and other benefits.

Senior Application Integration Engineer

Company: Databricks

Location: Other US Location

Posted Jan 25, 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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