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Databricks Admin Jobs in California (NOW HIRING)

Database Engineer

Irvine, CA · On-site

$130K - $150K/yr

... Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity. • Administer data governance controls in Unity Catalog by ...

New

AI Platform Engineer, Infrastructure

San Francisco, CA · On-site

$126K - $166K/yr

... less admin work Company momentum: * Raised a $55M Series A from leading investors * Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on ...

AI Platform Engineer, Infrastructure

San Francisco, CA · On-site

$126K - $166K/yr

... less admin work Company momentum: * Raised a $55M Series A from leading investors * Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on ...

Cloud Data Architect

San Jose, CA · On-site

$74.75 - $96/hr

This is not an infrastructure or admin role - the ideal candidate is a hands-on architect with ... Proficiency in Spark programming - Databricks experience is a big plus. Experience in data ...

Administer and scale advanced data platforms including Databricks, Starburst (distributed query engines), and version control systems. Governance & Security: Implement and manage data governance and ...

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... less admin work Company momentum: * Raised a $55M Series A from leading investors * Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on ...

SR INTEGRATION ENGINEER

Chico, CA · On-site

$105K - $162K/yr

Serve as the primary owner and administrator of the Boomi integration platform * Maintain platform ... Proficiency with Python and Databricks notebooks for data transformation and integration logic ...

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Databricks Admin information

What are Databricks Admins?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

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

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

What are popular job titles related to Databricks Admin jobs in California? For Databricks Admin jobs in California, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in California look for? The top searched job categories for Databricks Admin jobs in California are:
What cities in California are hiring for Databricks Admin jobs? Cities in California with the most Databricks Admin job openings:
Infographic showing various Databricks Admin job openings in California as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Platform Architect/AWS solution Architect

Krest Global Solutions

San Diego, CA

$80 - $85/hr

Contractor

Posted 15 days ago


Job description

Title: Platform Architect/AWS solution Architect

Hrly Rate: 80-85$/Hr on 1099/ C2C

Total experience: 15+ years

Location: Onsite (San Diego, CA or ready to travel to San Diego every alternate week.)

• Must Have

• Mandatory Technical Skill: AWS Admin, Terraform, CI/CD

• Cloud Architecture Expertise: 5+ years designing and implementing scalable, secure, and highly available cloud solutions.

• AWS Services Mastery: Deep hands-on experience with core AWS services (EC2, EKS, S3, VPC, IAM, CloudFormation).

• Networking & Security: Strong understanding of AWS networking (VPC, Subnets, Route Tables, NAT, VPN) and security best practices (IAM policies, KMS, encryption).

• Solution Design: Proven ability to translate business requirements into technical architectures using AWS Well-Architected Framework.

• Infrastructure as Code: Proficiency in Terraform for large scale automated deployments.

• DevOps Integration: Demonstrated experience integrating AWS solutions with CI/CD pipelines and automation tools (GitHub Actions, Jenkins, CodePipeline).

• Observability: Strong knowledge of monitoring and logging tools like CloudWatch and ability to implement observability best practices.

• Kubernetes Expertise: Hands-on experience setting up robust, scalable infrastructure in Amazon EKS, including cluster design, workload deployment, and security hardening.

• Disaster Recovery & High Availability: Proven experience designing and implementing DR strategies and HA architectures across AWS regions and services.

• Databricks Architecture & Configuration: Practical experience in architecting and configuring Databricks Lakehouse Platform, including Unity Catalog, Delta Lake, and secure workspace setup.

• Should Have

• Al Services & Infrastructure: Practical experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Recognition) and designing Al-ready architectures.

Databricks Al Features: Familiarity with Databricks Al capabilities (Model Serving, Feature Store, MLflow integration).

• Migration Experience: Hands-on experience migrating on-prem workloads to AWS (lift-and-shift, re-platforming, re-architecting).

• Cost Optimization: Ability to design cost-effective solutions and leverage AWS pricing models.

• Serverless Architectures: Familiarity with Lambda, API Gateway, and EventBridge.

• Nice to Have

Regards,

Certifications: AWS Certified Solutions Architect - Professional or Associate.

Containerization: Experience with ECS, EKS, and Docker.

Terraform Certification or equivalent.

• Communication Skills: Ability to clearly articulate technical concepts to both technical and non-technical stakeholders.