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Remote Azure Databricks Jobs in California (NOW HIRING)

KPI Partners

Platform Engineer

Fremont, CA · Remote

$75 - $85/hr

Azure AI Platform Engineer Location: Fremont, CA (Remote with Travel) Job Type: Contract - 12 ... We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in ...

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Remote Azure Databricks information

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

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

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in California? The most popular types of Azure Databricks jobs in California are:
What are popular job titles related to Remote Azure Databricks jobs in California? For Remote Azure Databricks jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in California look for? The top searched job categories for Remote Azure Databricks jobs in California are:
What cities in California are hiring for Remote Azure Databricks jobs? Cities in California with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Cloud Data & AI Architect - Enterprise Platforms - AIRLHV

NavitasPartners

San Francisco, CA • On-site, Remote

$40/hr

Other

Posted 17 days ago

Job description

 Cloud Data & AI Architect - Enterprise Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are seeking a Cloud Data & AI Architect to lead the design and delivery of enterprise-scale data and AI platforms. This role focuses on building scalable cloud ecosystems that enable advanced analytics and AI-driven innovation. 

Key Responsibilities: 

  • Architect and implement modern cloud data and AI platforms  
  • Define architecture standards, governance models, and best practices  
  • Collaborate with cross-functional teams to deliver scalable solutions  
  • Ensure performance, reliability, and cost optimization  

Required Skills: 

  • Strong experience in cloud architecture (AWS, Azure, GCP)  
  • Expertise in designing large-scale data platforms  
  • Hands-on implementation experience in distributed systems  

Nice to Have / Coverage: 

  • Data Engineering: Databricks, Snowflake, Azure Synapse, BigQuery  
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks  
  • GenAI & Agentic AI: Experience with LangChain and LLM-based systems  
  • AI Governance: Responsible AI, compliance, and regulatory frameworks  

For more details reach at resumes@navitassols.com.

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