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Databricks Architect Jobs in Oregon (NOW HIRING)

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

... architecture, data engineering, or a related role within an enterprise environment. * 5+ years of hands-on experience specifically with the Databricks Lakehouse Platform, including designing and ...

Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for ... Lead solution reviews and design update discussions to drive architecture decisions and secure ...

Creates architectural principles to support business goals. Consults with business line managers ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

Creates architectural principles to support business goals. Consults with business line managers ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

Solutions Architect

OR · Remote

$63 - $83/hr

Required Experience: * 8+ years as a hands-on Solutions Architect and/or Data Engineer designing ... Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP * SQL and the ability ...

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI ...

Senior Data Architect

Beaverton, OR · On-site

$71 - $95/hr

Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI ...

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Company Description Orchestrated by adept technical architects with over fifty years of applied ... Azure Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline ...

Azure Databricks Admin

OR

$51.50 - $64/hr

Company Description Orchestrated by adept technical architects with over fifty years of applied ... Databricks at admin capacity. Must have clear understanding of NSGs, azure baseline security ...

Strong systems-level knowledge of network and cloud architecture, Linux-based operating systems, and data/storage platforms (e.g., AWS, Databricks, Cloudera), with familiarity across data and ...

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Databricks Architect information

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 key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

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.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Oregon? The most popular types of Databricks Architect jobs in Oregon are:
What are popular job titles related to Databricks Architect jobs in Oregon? For Databricks Architect jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Databricks Architect jobs? Cities in Oregon with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Oregon as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Databricks Lead/Architect

1 point system

Portland, OR • On-site

$58.50 - $80.25/hr

Contractor

Posted 2 days ago


Job description

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.
  • 8+ years of progressive experience in data architecture, data engineering, or a related role within an enterprise environment.
  • 5+ years of hands-on experience specifically with the Databricks Lakehouse Platform, including designing and implementing complex data solutions.
  • Proven track record of successfully designing and implementing large-scale, high performance, and cost-optimized data platforms on Microsoft Azure. Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable.
  • Excellent communication, presentation, and interpersonal skills with the ability to influence technical and non-technical stakeholders effectively.