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Remote Azure Databricks Jobs in California (NOW HIRING)

Wayve

Triage Automation Engineer

Sunnyvale, CA · On-site +1

$144K - $183K/yr

Hands-on experience operating in a remote Linux environment * Experience building or maintaining ... Databricks, Jupyter) * Great communication skills, able to explain complex technical problems to ...

Neo4j

Consulting Engineer

San Mateo, CA · On-site +1

Ability to work independently in a remote, cross-functional organization * Curiosity and enthusiasm ... Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase ...

JM Eagle

Enterprise Applications Architect

Los Angeles, CA · Remote

$175K - $215K/yr

Enterprise Applications Architect - JM Eagle Los Angeles, CA | Onsite 4 Days / Remote Fridays $175 ... Azure Integration Services * API Management AI & Automation * Microsoft Copilot * GitHub Copilot

JM Eagle

Enterprise Applications Architect

Los Angeles, CA · Remote

$175K - $215K/yr

Enterprise Applications Architect - JM Eagle Los Angeles, CA | Onsite 4 Days / Remote Fridays $175 ... Azure Integration Services * API Management AI & Automation * Microsoft Copilot * GitHub Copilot

Doxel

Full Stack Software Engineer

Bodega Bay, CA · Remote

$150K - $165K/yr

Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

Adidev Technologies

ML/AI Engineers

Daly City, CA · Remote

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev Technologies Inc

ML/AI Engineers

Oakland, CA · Remote

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Doxel

Staff Software Engineer, Full Stack

Bodega Bay, CA · Remote

$200K - $250K/yr

Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

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All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in California

Remote Azure Databricks information

What is a remote Azure Databricks?

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 skills and qualifications are needed to thrive as a remote Azure Databricks professional?

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 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 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 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 September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Enterprise Data & AI Architect

Pico Rivera, CA • On-site, Remote

Bay Cities Container
51 - 200 employees
Learn more about Bay Cities Containerexternal

Full-time

Re-posted 22 days ago

Job description

Bay Cities Container has an exciting opportunity for an Enterprise Data & AI Architect for a remote based position. The ideal candidate will live anywhere in the United States but have the ability to travel to our corporate location as needed. Bay Cities is an Employee Owned (ESOP) corrugated packaging and display manufacturer. We design, manufacture, and deliver custom packaging, point-of-purchase displays, and fulfillment solutions for major national brands. We are in the middle of a CEO sponsored digital transformation- building an enterprise intelligence platform that connect our manufacturing, financial, sales, and operational systems through modern data architecture and AI. This is not a planning exercise. We have a functioning platform with proven results already in production.
The Role
We are hiring an Enterprise Data & AI Architect to own and extend the data intelligence and AI automation platform that drives our business transformation. You will report directly to the CIO and lead a small BI/analytics team (3-4 members).
This is a hands-on technical leadership role. You will write SQL, build semantic models, design data pipelines, configure AI-assisted workflows, and deliver measurable business outcomes- not just draw architecture diagrams. You'll inherit a functioning platform with real production workloads and be expected to keep it running while expanding its capabilities.
What You'll Do
Data Architecture & Warehousing
  • Own and extend a SQL Server analytics data warehouse with dimensional modeling (star schema, conformed dimensions, fact/dimension tables).
  • Design and maintain data pipelines from multiple legacy source systems (ERP, logistics, workflow management) through to Microsoft Fabric.
  • Handle complex temporal data challenges- reconciling multiple systems with incompatible time grains.
  • Maintain schema governance, documentation, and data lineage.

Business Intelligence & Reporting
  • Build and maintain Power BI semantic models deployed to Microsoft Fabric.
  • Develop DAX measure libraries for financial and operational reporting.
  • Deliver executive dashboards- P&L, Balance Sheet, Flash Reports, cost analysis, operational metrics.
  • Ensure data quality through validation and reconciliation between source systems and reporting layers.

AI & Automation
  • Design and orchestrate AI agent workflows for business process automation.
  • Build workflow automations for data pipelines, alerting, and system integration.
  • Implement agent-assisted analytics- where AI investigates, subject matter experts validate, and the system learns.
  • Manage prompt engineering, AI governance, and safety boundaries for production AI systems.

Manufacturing Cost Intelligence
  • Work with legacy ERP cost models (Activity-Based Costing, BOM structures, GL interaction).
  • Build margin analysis, vendor spend tracking, and cost-per-unit modeling.
  • Reconcile estimated costs against actuals across multiple systems.

Stakeholder Delivery
  • Translate business needs from executives (CFO, CRO, COO) into data products.
  • Manage a portfolio of concurrent analytics projects from intake through delivery.
  • Deliver iteratively- prove value in days, not months.

Team Leadership
  • Lead and mentor a small BI/Analytics team.
  • Distribute work to eliminate single-person bottlenecks and knowledge concentration.
  • Build team capability so institutional knowledge compounds across people, not in one person.
  • Ensure IT governance: proper secrets management, access controls, and security practices.

Requirements
Required
  • 5+ years SQL Server/T-SQL- complex analytical queries, views, stored procedures, dimensional modeling. This is a daily tool, not an occasional one.
  • 3+ years Power BI/DAX- Semantic model development, DAX measures, evaluation context. Experience deploying models to production environments.
  • Microsoft Fabric or equivalent cloud analytics platform- Data warehouse, pipelines, semantic models, workspace governance. Azure Synapse, Databricks, or Snowflake experience translates well.
  • Data Warehouse Design- Dimensional modeling, star schemas, ETL/ELT patterns, slowly-changing dimensions. You've built and maintained a production data warehouse.
  • Python- Data transformation, scripting, and automation. Experience with data science libraries (pandas, scikit-learn) is a plus.
  • Git Version Control- All code, models, and documentation are version-controlled. Comfortable with collaborative development workflows.
  • API Integration- Rest APIs, authentication flows, webhook patterns. You'll connect ERP, logistics, and cloud services.

Strongly Preferred
  • AI/LLM experience- Hands-on with Claude, OpenAI, or similar. Understanding of prompt engineering, agent orchestration, or agentic AI patterns.
  • Workflow Automation Platforms- n8n, Azure Logic Apps, Power Automate, Zapier, or Make. Building automated data flows and business process automation.
  • Manufacturing or industrial ERP systems- Any background with ERP platforms in a manufacturing context (SSAP, Oracle, Infor, Epicor, Amtech or similar). The specific system is learnable; the domain intuition is not.
  • Financial reporting concepts- GL structure, P&L, Balance Sheet, Cost Accounting. You'll partner closely with Finance.
  • PowerShell- Infrastructure scripting, automation, and diagnostics in a Windows/Azure environment.
  • Azure AD/Identity Management- Service accounts, credential lifecycle, gateway authentication.

Nice to Have
  • Experience in packaging, printing, or discrete manufacturing.
  • Change Management Awareness- understanding how technology adoption affects people.
  • Vector database experience (Chroma, Pinecone, Weaviate).
  • Data Vault 2.0 methodology.

What You Don't Need to Know (We'll Teach You)
  • Our Specific ERP system and its data structures- they're well-documented, and you'll have AI-assisted tooling to explore them.
  • Corrugated packaging manufacturing process- the domain is learnable and our platform captures institutional knowledge to help you ramp up.
  • Our specific AI agent framework- if you understand the fundamentals of LLMs and prompt engineering, you'll pick up our implementation quickly.
  • The history of how we got here- what matters is where we're going.

What Success Looks Like
  • First 30 days: Understand the data architecture end-to-end (source systems-data warehouse-Fabric-Power BI)- Take ownership of existing production models and dashboards- Meet with key business stakeholders to understand their priorities- Assess current security Posture.
  • First 90 Days: Deliver 2-3 projects end-to-end with measurable business impact. Reduce single-person dependencies on critical data paths. Implement proper secrets management and access controls. Ensure all platform assets are under enterprise IT governance.
  • First 6 months: Team is delivering analytics projects independently without bottlenecks. Data pipeline architecture is documented, monitored, and resilient. AI automation framework is maintainable by the team, not dependent on any one person. New projects are being triaged and delivered on predictable, repeatable cycles.

What We Offer
  • ESOP Ownership- You become an employee-owner. Your work builds your equity.
  • Direct Impact- Small team, big mandate, CEO-sponsored transformation with proven results.
  • Modern Stack- Microsoft Fabric, Power BI, AI Agents, Git-based development.
  • Autonomy- Build real systems that deliver real business outcomes, not proof-of0concepts that sit on a shelf.
  • Growth- This role expands as the platform expands. You'll shape what it becomes.

Other
  • US Persons Only (US citizens, lawful permanent residents, refugee or asylee - all require proper identification and documentation).
  • Up to 25% travel required.
  • Physical and Environmental Requirements: While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to stand and sit. The employee is occasionally required to walk and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision and color vision.
  • Work Environment: This is a full-time remote or Hybrid position, with occasional travel to Bay Cities Container offices or facilities as needed.
  • In this role, you will be instrumental in shaping Bay Cities Container's data landscape, driving innovation, and enhancing operational efficiency through data-driven insights and solutions.
  • Pre-Employment Verifications: Must pass background and reference checks, drug screen, and physical examination prior to employment.

Apply