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Day Azure Databricks Jobs in Seattle, WA (NOW HIRING)

Azure Databricks Architect

Seattle, WA ยท On-site

$72.25 - $94.25/hr

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 ...

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Lead Data Engineer

Lynnwood, WA ยท 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 ...

Data Engineering Manager

Seattle, WA ยท On-site

$150K - $160K/yr

Seattle, WA - 3 days onsite Duration: Direct Hire Compensation: $150K-$160K Work Requirements: US ... Experience with Azure Databricks, Delta Lake, Apache Spark, or similar distributed data processing ...

... data per day. At our scale, we regularly observe cloud hardware, network, and operating system ... AWS, Azure, GCP, Docker, Kubernetes. Pay Range Transparency Databricks is committed to fair and ...

Software Data Operations Engineer

Redmond, WA ยท On-site

$85K - $120K/yr

Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ... The result: report load times dropped by 80%, refresh cycles shrank from 10 days to minutes, and ...

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Day Azure Databricks information

See Seattle, WA salary details

$12

$66

$90

How much do day azure databricks jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for day 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.

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

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

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 Day Azure Databricks jobs in Seattle, WA? For Day Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Day Azure Databricks jobs in Seattle, WA look for? The top searched job categories for Day Azure Databricks jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Day Azure Databricks jobs? Cities near Seattle, WA with the most Day Azure Databricks job openings:
Infographic showing various Day Azure Databricks job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $138,243 per year, or $66.5 per hour.

Azure Databricks Architect

HMG America

Seattle, WA โ€ข 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.