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Databricks Architect Jobs in Oregon (NOW HIRING)

... Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented Generative AI architecture. - Apply Lambda architecture, database design, and data modeling to support scalable and ...

Salesforce Solution Architect

Portland, OR ยท On-site

$73.25 - $90.75/hr

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing ... Salesforce System Architect, Salesforce Public Sector Solutions Accredited Professional, Salesforce ...

... Databricks, provide a platform for shaping forward-leaning architectures that drive measurable ... Develop cohesive end-to-end architecture blueprints that translate business strategy into ...

Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance ...

Data Architect (Data Platform)

Portland, OR ยท On-site

$67.50 - $87/hr

A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage. * A deep knowledge in cloud platforms such as ...

Data Architect (Data Platform)

Portland, OR ยท On-site

$67.50 - $87/hr

A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage. * A deep knowledge in cloud platforms such as ...

Data Architect (Data Platform)

Portland, OR ยท On-site

$67.50 - $87/hr

A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage. * A deep knowledge in cloud platforms such as ...

OR

$135K - $203K/yr

Architect systems for high availability, disaster recovery, and auditability * Define and enforce ... Spark, Databricks ecosystems) * Hands-on experience handling sensitive data (PHI, PII/PPI) in ...

... Databricks) and enable them to adopt and implement dbt for their clients * Be an active member of ... architecture, or consulting in data operations, analytics, or BI * A solid technical background ...

Advise on architecture, design, implementation, troubleshooting, and best practices in dbt Cloud ... Expertise with at least one modern cloud data platform (Snowflake, Databricks, BigQuery, or ...

In this role, you will lead the architecture, operation, and continuous improvement of modern cloud ... in Databricks or similar technologies. * Hands-on experience with cloud and distributed data ...

Databricks-first platform - Lakehouse architecture with Unity Catalog, MLflow, and scalable compute * Real AI work - design and deploy AI agents, RAG systems, and LLM-powered solutions in production

$105K - $143K/yr

... Databricks, data modeling, and production data pipelines. Deep experience with Spark, SQL, Python, medallion architecture, and dimensional or conformed data model design. Experience working with SAP ...

OR

$114K - $137K/yr

Databricks certifications - Associate/Professional * AWS Certified Solutions Architect - Associate/Professional * AWS Certified Developer - Associate/Professional * AWS Certified DevOps Engineer

... Databricks and Snowflake - Guiding team members in data architecture development and database optimization - Validating data quality, security, and compliance within analytics frameworks ...

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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.