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Databricks Architect Jobs in California (NOW HIRING)

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

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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, and why are they important?

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.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
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 cities in California are hiring for Databricks Architect jobs? Cities in California with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in California as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Databricks Manager

Databricks Manager

Deloitte

Los Angeles, CA

Other

Posted 24 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

Leading the design and delivery of Databricks-based data and analytics solutions for client engagements

Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment

Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities

Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms

Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management

The Team

This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.

Qualifications Required:

Bachelor's degree

6+ years of experience delivering data engineering, analytics, or cloud data platform solutions

3+ years of experience with Databricks and Apache Spark

3+ years of experience with Python and Structured Query Language (SQL)

2+ years of experience leading project teams or workstreams

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Master's degree

Experience with Delta Lake, Unity Catalog, or MLflow

Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience designing batch and streaming data pipelines

Experience with data governance, data quality, or platform security controls

Experience supporting client presentations, proposals, or solution demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

Leading the design and delivery of Databricks-based data and analytics solutions for client engagements

Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment

Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities

Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms

Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management

The Team

This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.

Qualifications Required:

Bachelor's degree

6+ years of experience delivering data engineering, analytics, or cloud data platform solutions

3+ years of experience with Databricks and Apache Spark

3+ years of experience with Python and Structured Query Language (SQL)

2+ years of experience leading project teams or workstreams

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Master's degree

Experience with Delta Lake, Unity Catalog, or MLflow

Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience designing batch and streaming data pipelines

Experience with data governance, data quality, or platform security controls

Experience supporting client presentations, proposals, or solution demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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