ZipRecruiter

Log In

1

Databricks Architect Jobs in Seattle, WA (NOW HIRING)

HMG America

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 ...

Goli Tech

Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data ...

PEMCO

Senior Databricks AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Serve as Databricks Architect responsible for designing, deploying, and governing Databricks workspaces and resources across multiple environments (Dev, Test, Prod). * Define and implement Databricks ...

HMG America

Data Architect (AWS Databricks)

Seattle, WA · On-site

$73.75 - $96.75/hr

Data Architect (AWS Databricks) Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week) ROLE OVERVIEW We are looking for a Data Architect to own the design and ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. * You will grow end-user engagement ...

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

Make company-wide impact by driving stream processing adoption across the Databricks product portfolio * Guide long-term architecture and technical-debt decisions, balancing them against the product ...

next page

Showing results 1-20

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Seattle, WA

Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the most commonly searched types of Databricks Architect jobs in Seattle, WA?

The most popular types of Databricks Architect jobs in Seattle, WA are:

What are popular job titles related to Databricks Architect jobs in Seattle, WA?

For Databricks Architect jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Databricks Architect jobs in Seattle, WA look for?

The top searched job categories for Databricks Architect jobs in Seattle, WA are:

Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Azure Databricks Architect

HMG America

Seattle, WA • On-site

$72.25 - $94.25/hr

Other

This job post has expired today. Applications are no longer accepted.

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.

Apply