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.

Head of Applied AI

Company: Databricks

Location: Silicon Valley CA

Posted Aug 14, 2022

The job description is for a Head of Applied AI at Databricks, responsible for leading the company's applied AI engineering team to enhance its product and infrastructure with machine learning. The role requires a passion for data, strong ML modeling and architecture skills, and a strong vision for how data can proactively improve the product.

Sr. Staff Customer Success Engineer, Success Specialists

Company: Databricks

Location: Remote

Posted Aug 14, 2022

The job posting is for a Success Specialist role at Databricks, a company that helps organizations unlock the potential of their data. The role involves developing and executing technical services with customers to improve their adoption of the Databricks platform. The job requires 7+ years of experience working with customers and partners in the data science and machine learning domain, or in the data management space.

Staff Customer Success Engineer, Success Specialists

Company: Databricks

Location: Remote

Posted Aug 14, 2022

The job posting is for a Success Specialist role at Databricks, requiring 7+ years of experience in data science and machine learning. The role involves developing and executing technical services with customers to improve their adoption of the Databricks platform. The company offers a range of benefits and is committed to diversity and inclusion.

Engagement Manager

Company: Databricks

Location: Remote

Posted Aug 15, 2022

The job description is for an Engagement Manager at Databricks, responsible for establishing partnerships with customers, exceeding customer satisfaction expectations, and identifying opportunities for new services. The role requires 5+ years of experience in customer-facing roles, data and AI domain experience, and excellent customer-facing skills.

Head of Data Technical Program Management

Company: Databricks

Location: Seattle WA

Posted Aug 14, 2022

The job description is for a senior technical program manager to lead data technical program management, drive innovation, and manage a portfolio of data initiatives. The role requires experience in data science, AI, and technical program management, and offers benefits such as medical, dental, and vision insurance, 401k retirement plan, and unlimited paid time off.

Engagement Manager

Company: Databricks

Location: Boston MA

Posted Aug 14, 2022

The job description is for an Engagement Manager at Databricks, responsible for establishing partnerships with customers, exceeding customer satisfaction expectations, and identifying opportunities for new services. The role requires 5+ years of experience in customer-facing roles, data and AI domain experience, and excellent customer-facing skills.

Databricks - Data Scientist

Company: Databricks

Location: Mountain View, CASan Francisco, CA

Posted Jan 01, 1970

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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