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Databricks Architect Jobs in California (NOW HIRING)

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework. * Scale across ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework. * Scale across ...

Confiz Limited

AI Solutions Architect

San Mateo, CA · On-site

$180 - $240/hr

Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving. * Architect full-stack solutions that integrate ...

TEKsystems

Cloud Data Architect

San Jose, CA

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role combines architecture ownership with hands-on Databricks and Spark development in a highly visible enterprise environment. MUST HAVES: * Bachelor's Degree in Computer Science (required ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in California? The most popular types of Databricks Architect jobs in California are:
What are popular job titles related to Databricks Architect jobs in California? For Databricks Architect jobs in California, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in California look for? The top searched job categories for Databricks Architect jobs in California are:
What cities in California are hiring for Databricks Architect jobs? Cities in California with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in California as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, 2% Temporary, and 7% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Sr Software Engineer- CXI

Databricks

Mountain View, CA • On-site

$164K - $225K/yr

Full-time

Posted 27 days ago

Job description

P-1640
At Databricks, we're passionate about enabling data teams to solve the world's toughest problems - from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world's best data and AI infrastructure platform so our customers can turn deep data insights into business impact.
Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges - from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI), you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.
The Impact You Will Have
  • Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework.
  • Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.
  • Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
  • Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.
  • Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
  • Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.
  • Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
  • Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.
What We Look For
  • BS or higher degree in Computer Science or a related engineering field.
  • Extensive backend development experience designing, building, and maintaining high-throughput production systems.
  • Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments.
  • Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.
  • Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.
  • Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.

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
$164,200-$225,700 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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