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Databricks Architect Jobs in Oregon (NOW HIRING)

Shift Technology

OR · Hybrid

Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML) , Unity Catalog , and Delta Lake . Good understanding of Spark data architecture is a plus. * Experience using MLflow for the ...

NewRocket

AI Data Intelligence Lead

OR · Remote

... platforms (Databricks, Snowflake, etc.) * Preferred Experience * Experience applying LLMs or generative AI to enterprise data systems * Experience with semantic retrieval or RAG architecture

Pwc

Data Engineer - Manager

Portland, OR

... Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

Work extensively with Databricks and various AI toolings for large-scale data processing and ... Helping to lead a team through different data models and architectural decisions You Are Likely To ...

phData

OR

$126K - $166K/yr

Hands-on exposure to modern cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and ... Familiarity with data/AI architecture and governance, and experience in change-heavy ...

Slalom Consulting

General Information

Portland, OR · On-site

$90 - $100/hr

... as Databricks * Experience designing and guiding implementation of end-to-end data platforms and data product ecosystems * Deep understanding of modern data architecture principles supporting ...

Cotiviti

... Databricks, and the Cloudera/Hadoop ecosystem. * Lead and manage a team of data engineers in ... Ensure the organization follows best practices in data architecture and engineering standards so ...

Nike

Software Engineer

Beaverton, OR · On-site

Use Databricks Catalog for Data Governance and Lineage Tracking; Real-time Change Data Capture ... in architecture and design discussions to process and store highvolume data sets; drive the ...

Instacart

OR

Directly contribute to our data vision and engineering architecture. Produce and review technical ... Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go.

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data architecture development and data modeling - Implementing data pipeline and data integration strategies ...

Striim, Inc.

OR

$166K - $192K/yr

... Databricks, BigQuery, Spanner, Microsoft Fabric, Apache Iceberg, or similar platforms. * Demonstrated success creating technical content that drives practitioner engagement, including architecture ...

Instacart

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

In this role, you'll serve as a senior technical leader owning the architecture and delivery of our ... Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a ...

Curana Health, Inc.

$114K - $137K/yr

Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version ... HIPAA), and architecture Qualifications * 2-4 years of experience in data engineering, ETL ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Cotiviti

Architectural Leadership: Define and influence system architecture decisions for enterprise-scale ... SQL & distributed computing expertise - query optimization, Spark, Presto/Trino, Databricks ...

Striim, Inc.

OR

This is a hands-on, deeply technical role requiring active participation in solution architecture ... AI/ML frameworks and analytics platforms (e.g., Databricks, Snowflake) * Exceptional communication ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort operating with a cloud-agnostic mindset * Multi-cloud or hybrid architecture experience * Cost ...

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Oregon

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 job categories do people searching Databricks Architect jobs in Oregon look for? The top searched job categories for Databricks Architect jobs in Oregon are:
What cities in Oregon are hiring for Databricks Architect jobs? Cities in Oregon with the most Databricks Architect job openings:
Databricks Architect jobs near you
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.

Data Scientist / Engineer (Healthcare Payment Integrity)

Shift Technology

OR • Hybrid

Other

Posted 4 days ago

Job description

About the Team

  • This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
  • Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
  • Our company is small enough that each person's achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
  • As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Key Responsibilities

  • Your role will be to actively contribute to the US Health roadmap and clients, and working on various data types such as structured claims data, free text, documents and images. 
  • Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
  • Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases.
  • Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of payment integrity solutions.
  • Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.
  • Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent's decisions are unbiased, legally sound, and explainable.
  • Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.
  • Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.

WHAT WE ARE LOOKING FOR

We are looking for candidates with 3+ years of Data Science and Healthcare Insurance Payment Integrity experience with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

  • Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.
  • Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.
  • Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.
  • Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
  • Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).
  • Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.

Highly Desired Skills

  • Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake.  Good understanding of Spark data architecture is a plus.
  • Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.

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