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Databricks Software Jobs in California (NOW HIRING)

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1640 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI ) , you will architect ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1691 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver ...

Databricks

Sr Software Engineer-Networking

Mountain View, CA · On-site

$166K - $225K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in California?

For Databricks Software jobs in California, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in California look for?

The top searched job categories for Databricks Software jobs in California are:

What cities in California are hiring for Databricks Software jobs?

Cities in California with the most Databricks Software job openings:

Databricks Software jobs near you
Infographic showing various Databricks Software job openings in California as of July 2026, with employment types broken down into 4% Locum Tenens, 12% As Needed, 76% Full Time, 4% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Staff Software Engineer, AI Native Web Platform

Databricks

Mountain View, CA • On-site

$198K - $272K/yr

Full-time

Re-posted 15 days ago

Job description

Staff Software Engineer, AI-Native Web Platform
P-1579
About Us:
The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model.
The Role:
As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.
This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.
The impact you'll have:
  • Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.
  • Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.
  • Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.
  • Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.
  • Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.
What we look for:
  • 12+ years of software engineering experience, with a strong track record of technical leadership and impact.
  • 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
  • Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure
  • Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.
  • Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform
  • Experience sequencing and executing frontend framework migrations without disrupting production
  • A clear point of view on AI-native software development and a track record of building toward it
  • Familiarity with agentic systems or LLM-powered tooling is a strong plus.
  • Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders
  • History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale

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.
Zone 1 Pay Range
$198,200-$272,600 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.

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