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Azure Databricks Jobs in Seattle, WA (NOW HIRING)

Azure Databricks Architect

Seattle, WA · On-site

$72.25 - $94.25/hr

Azure Databricks Architect Location: Seattle, WA (Hybrid 3 Days Onsite) Duration: Full-Time Job Summary We are seeking an experienced Azure Databricks Architect to lead the design, implementation ...

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Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems * Provide technical leadership and mentorship to the data engineering ...

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

Senior Databricks AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Responsibilities : • Conduct customer workshops to identify requirements and provide architecture design for analytics projects with Azure and Databricks AI/ML products & services. • Serve as ...

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse Analytics ...

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching ...

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Azure Databricks information

See Seattle, WA salary details

$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for azure databricks in Seattle, WA is $66.46, according to ZipRecruiter salary data. Most workers in this role earn between $60.19 and $74.66 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

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 is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

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.

What are the most commonly searched types of Azure Databricks jobs in Seattle, WA? The most popular types of Azure Databricks jobs in Seattle, WA are:
What are popular job titles related to Azure Databricks jobs in Seattle, WA? For Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Seattle, WA look for? The top searched job categories for Azure Databricks jobs in Seattle, WA are:
Infographic showing various Azure Databricks job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, 1% Part Time, and 13% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $138,243 per year, or $66.5 per hour.

Azure Databricks Architect

HMG America

Seattle, WA • On-site

$72.25 - $94.25/hr

Other

Posted yesterday

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Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Azure Databricks Architect in Seattle, WA. Below is the detailed job description.

Job Title: Azure Databricks Architect

Location: Seattle, WA (Hybrid 3 Days Onsite)
Duration:Full-Time

Job Summary

We are seeking an experienced Azure Databricks Architect to lead the design, implementation, and optimization of enterprise-scale data platforms on Azure. The ideal candidate will have deep expertise in Azure Databricks, Spark, Delta Lake, and modern Lakehouse architecture, with strong experience designing secure, scalable, and high-performance data solutions. Knowledge of Unity Catalog, Medallion Architecture, and Infrastructure as Code is highly preferred. These are all considered current best practices for enterprise Azure Databricks environments.

Required Skills

  • 12+ years of IT experience with 5+ years as a Data/Cloud Architect.
  • Strong hands-on experience with Azure Databricks.
  • Expertise in PySpark, Spark SQL, Python, and SQL.
  • Strong knowledge of Delta Lake, Lakehouse Architecture, and Medallion (Bronze/Silver/Gold) Architecture.
  • Experience with Unity Catalog, data governance, RBAC, and data lineage.
  • Experience designing scalable ETL/ELT pipelines.
  • Hands-on experience with Azure Data Factory (ADF).
  • Strong experience with Azure Data Lake Storage (ADLS Gen2).
  • Experience with Azure Synapse Analytics or Microsoft Fabric is a plus.
  • Experience with CI/CD using Azure DevOps, Git, and Infrastructure as Code (Terraform/Bicep/ARM).
  • Strong understanding of performance tuning, cluster optimization, partitioning, caching, and cost optimization.
  • Experience implementing data quality, monitoring, logging, and observability.
  • Knowledge of streaming technologies (Structured Streaming/Event Hubs/Kafka) is preferred.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Design and architect enterprise-scale Azure Lakehouse solutions.
  • Define end-to-end data architecture, ingestion, transformation, and serving layers.
  • Lead Azure Databricks implementation using best practices.
  • Design secure data governance using Unity Catalog and role-based access controls.
  • Optimize Spark workloads for performance and cost.
  • Implement reusable frameworks, coding standards, and CI/CD pipelines.
  • Work closely with business, engineering, and cloud infrastructure teams.
  • Provide architectural guidance, code reviews, and technical leadership.
  • Ensure scalability, reliability, security, and disaster recovery across the platform.

Nice to Have

  • Databricks Certified Professional/Architect certification.
  • Azure Solutions Architect or Azure Data Engineer certification.
  • Experience with MLflow, MLOps, or AI/GenAI workloads on Databricks.
  • Experience with Power BI integration.