Databricks
Databricks

60 Databricks Staff Software Engineer Jobs Hiring Near You

Senior Staff Software Engineer - IAM

Seattle, WA · On-site

$139.40K - $183.80K/yr

Databricks is a leading data and AI company focused on enabling data teams to tackle complex challenges. They are seeking a Senior Staff Software Engineer to enhance their security infrastructure ...

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Databricks Jobs Information

What are the key skills and qualifications needed to thrive as a Staff Software Engineer, and why are they important?

To thrive as a Staff Software Engineer, you need deep expertise in software development, system architecture, and problem-solving, often supported by a relevant degree and significant industry experience. Mastery of programming languages (such as Java, Python, or C++), cloud platforms, version control systems, and familiarity with CI/CD pipelines are typically required. Exceptional leadership, strong communication, and mentorship abilities set candidates apart in this role. These skills are essential for designing scalable solutions, guiding technical teams, and ensuring the successful delivery of complex projects.

How does a Staff Software Engineer typically contribute to setting technical direction within a team?

As a Staff Software Engineer, you are expected to play a pivotal role in shaping the technical roadmap and ensuring architectural consistency across projects. This often involves mentoring junior engineers, reviewing system designs, and making critical decisions on technology choices and best practices. You'll collaborate closely with product managers, engineering leads, and other stakeholders to align technical goals with business objectives. Your leadership helps foster innovation while maintaining high standards for code quality and system reliability.

What is a Staff Software Engineer?

A Staff Software Engineer is a senior-level technical role responsible for designing, developing, and overseeing complex software systems. They often serve as technical leaders within their teams, guiding architecture decisions, mentoring junior engineers, and collaborating across departments. Staff Software Engineers are expected to solve high-impact engineering problems, set technical standards, and ensure the quality and scalability of software products. Their role typically involves both hands-on coding and strategic planning to drive technological innovation within an organization.

What engineer can make $500,000 a year?

A Staff Software Engineer at senior levels in large tech companies or specialized fields can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced technical skills, and a track record of leadership and impact within high-paying organizations.

What is the difference between Staff Software Engineer vs Senior Software Engineer?

AspectStaff Software EngineerSenior Software Engineer
Required CredentialsBachelor's or Master's in CS or related field; extensive experienceBachelor's or Master's in CS; significant experience
Work EnvironmentLeads projects, mentors teams, influences technical strategyDevelops features, solves complex problems, mentors juniors
Employer & Industry UsageCommon in large tech companies, enterprise environmentsWidespread across startups, mid-sized, and large companies

The main difference between a Staff Software Engineer and a Senior Software Engineer lies in scope and influence. Staff Engineers typically lead technical initiatives, mentor multiple teams, and shape engineering strategies, while Senior Engineers focus on developing features and solving complex problems within their teams. Both roles require strong technical skills, but Staff Engineers have a broader impact across projects and departments.

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
Infographic showing various Staff Software Engineer job openings at Databricks in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Staff Software Engineer - User Activation

Staff Software Engineer - User Activation

Databricks

San Francisco, CA • On-site

$192K - $260K/yr

Full-time

Posted 3 days ago


Job description

P-925
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.
The impact you'll have:
  • Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.
  • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.
  • Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.
  • Hands-on full-stack software development to create dynamic, user-centric experiences.
  • Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
  • Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

What we look for:
  • 15+ years of software engineering experience, with a strong track record of technical leadership and impact.
  • 5+ years of engineering management experience, including managing managers.
  • Expertise in Front End or Full Stack development.
  • Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.
  • Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
  • Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.
  • Passion for the data intelligence space.

Why Join us?
  • Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
  • Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
  • Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$192,000-$260,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.