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Azure Databricks Jobs in California (NOW HIRING)

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

This role involves working with large datasets, advanced analytics, and modern data engineering and ML frameworks--primarily using Databricks on Azure/AWS. Skills & Qualifications Required * Bachelor ...

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Job Title: Databricks Architect Location : Los Angeles CA (Hybrid) The Databricks Architect is ... This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing ...

NextPhase.ai

Data Engineer

San Mateo, CA · On-site

$130K - $156K/yr

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Deploy and manage cloud-based data infrastructure; leverage Azure DevOps for CI/CD of data ...

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

You will work extensively with modern data technologies, including Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse architectures, helping to build a trusted data foundation that ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Kai Cyber, Inc.

DevOps Engineer - Networking

San Jose, CA · On-site

$61.75 - $84.75/hr

Design, deploy, and operate scalable data platforms and pipelines, primarily on Azure (Databricks, ADF, ADLS) * Build, manage, and optimize Apache Spark clusters and workloads for batch and streaming ...

V4C.ai

DataBricks Consultant- Onshore

Fontana, CA · Hybrid

$116K - $139K/yr

This role will support scalable cloud-based data solutions utilizing Databricks, SQL, Python, PySpark, AWS, Microsoft Azure, APIs, and modern ETL/ELT workflows across multiple operational systems and ...

Kai Cyber, Inc.

DevOps Engineer - Data Ops

San Jose, CA · On-site

$61.75 - $84.75/hr

Design, deploy, and operate scalable data platforms and pipelines, primarily on Azure (Databricks, ADF, ADLS) * Build, manage, and optimize Apache Spark clusters and workloads for batch and streaming ...

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How much do azure databricks jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for azure databricks in California is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $64.76 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in California as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

Cloud Architect - AI/ML

Purple Drive Technologies

San Jose, CA • On-site

$76.25 - $97/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
Cloud Architect - AI/ML
  • Design and optimize cloud-based AI/ML data systems.
  • Lead architecture, strategy, and implementation across full ML pipelines in Azure.
  • Ensure scalability, automation, security, and cross-team collaboration.

Key Skills:
  • Azure, Databricks, Spark, Python, SQLCloud architecture & MLOps Data modeling & governance
  • Strong communication & diagramming

Qualifications:
  • 5+ years in data engineering
  • Proven Azure cloud experience

Mandatory:
  • Bachelor's in Computer Science ONLY
  • 7+ years of architecture experience

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