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Databricks Architect Jobs in Oregon (NOW HIRING)

CTO, Data Platforms

OR ยท On-site +1

... architects who know how to deliver. The CTO, Data Platforms owns Nimble Gravity's technology strategy and execution across our data platform ecosystem, with Databricks and Microsoft Fabric as our co ...

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 ...

Applied AI Solutions Architect

OR ยท On-site +1

$63 - $83/hr

We are looking for a Applied AI Solutions Architect to join our Applied AI team. In this role, you ... Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure ...

This role requires a hands-on technology leader who combines deep Databricks expertise with strong leadership, architectural thinking, and a passion for building modern engineering organizations.

Familiarity with Databricks technologies and architectures such as Delta Lake, Spark, PySpark, ETL/ELT frameworks, and Medallion (Bronze/Silver/Gold) architecture patterns. * Experience building ...

Senior Manager, Finance Data Platform

OR ยท On-site +1

$108K - $148K/yr

Optimize Databricks workloads for performance, scalability, reliability, and cost. * Maintain strong SQL and data engineering standards across the team. * Partner with enterprise Data Architecture ...

Senior Software Engineer (Cloud Infrastructure)

OR ยท On-site +1

$108K - $147K/yr

Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource ... Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Data Engineer

OR ยท On-site +1

$114K - $137K/yr

What You'll Contribute as a Data Engineer Data Architecture & Integration * Design and develop end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse, Databricks, Logic Apps, etc.

AI Solution Engineer

OR ยท On-site +1

Delta Lake and medallion architecture patterns * MLflow for experiment tracking, model registry, and deployment Preferred * Databricks Mosaic AI - Agent Framework, Vector Search, Model Serving, AI ...

In this role, you will bring together customer data architecture, platform configuration ... Experience with cloud data platforms, including Snowflake, Databricks, Microsoft Azure, Amazon Web ...

Senior Principal Software Engineer

Beaverton, OR ยท On-site

$130K - $180K/yr

Serve as the technical authority for EPM and Anaplan architecture, design, and implementation in ... Databricks, Airflow, Apache Kafka, Lambda, and SAP S/4 * Strong understanding of enterprise ...

Showing results 21-40

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 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 September 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

CTO, Data Platforms

OR โ€ข On-site, Remote

Nimble Gravity
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 12 days ago


Key responsibilities

  • Own the data platform technology strategy and define Nimble Gravity's point of view on relevant platforms.

  • Lead on Databricks and Microsoft Fabric by serving as a senior technical authority and maintaining a credible operational perspective.

  • Enable the delivery team by defining reference architectures, accelerators, code patterns, and quality standards, and run internal enablement activities.


Job description

We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar enablement for data architects who know how to deliver.ย 

The CTO, Data Platforms owns Nimble Gravity's technology strategy and execution across our data platform ecosystem, with Databricks and Microsoft Fabric as our co-leads and broader ownership across adjacent platforms. This is a hybrid role: part technology leader, part vendor partner, part trusted advisor to delivery and growth. You'll spend your time setting platform direction, enabling architects and engineers, and showing up in client-facing pre-sales conversations where credibility wins or loses the deal. You report to the CTO of Nimble Gravity and are the single point of accountability for everything data platforms at Nimble Gravity.ย 

The Opportunityย 

Our clients need help modernizing legacy warehouses, untangling messy integration estates, and trying to make data ready for production AI.ย 

Nimble Gravity is built for this moment. We have deep Databricks delivery experience, an established Microsoft partnership, and Anthropic partner status that puts Claude-powered data products within reach for our clients. The CTO, Data Platforms turns that foundation into a clear, defensible, repeatable practice, setting the direction, raising the delivery floor, sharpening the pre-sales motion, and converting platform credibility into pipeline and signed engagements.ย 

Data Platform Strategy and Technology Directionย 

You are the voice of Nimble Gravity on data platforms internally and externally. You set the point of view on where Databricks, Fabric, and adjacent platforms fit, where they don't, and how Nimble Gravity will deliver on each. You stay close enough to the technology to be credible with architects and engineers, and far enough above it to set direction for the firm.ย 

Delivery Enablementย 

You define reference architectures, accelerators, and patterns that our data engineers and architects use on every engagement. You raise the technical bar by mentoring senior delivery talent, running internal enablement, and making sure every Databricks (and broader data platform) engagement leaves us with reusable assets, not just delivered code. You partner with our delivery leadership to keep quality high as we scale.ย 

Pre-Sales and Growth Partnershipย 

You show up where credibility wins deals. You partner with our growth team on qualified opportunities, lead technical discovery, shape proposals, and stand up in front of client architects and CTOs to make the case for Nimble Gravity. You bring conviction to platform selection conversations and help clients see the path from current state to a data foundation that's ready for AI. You influence pipeline as a leading indicator, partner-sourced opportunities, expansion at existing accounts, and new logos where data platform expertise is the wedge.ย 

Vendor Partnershipsย 

You are our primary technical face to Databricks and to the Microsoft data platform organization. You build and maintain the working relationships with Databricks field SAs, partner managers, and product leadership, and with their counterparts in the Microsoft Fabric ecosystem including FastTrack, partner managers, and product teams that turn into joint pursuits and co-sell motion. You coordinate cleanly with our broader Microsoft and Anthropic partner motions, since most modern data platform opportunities involve all three. You keep us sharp on Databricks and Fabric roadmaps, new capabilities, and partner program mechanics.ย 

Responsibilitiesย 

  • Own the data platform technology strategy end to end. Define Nimble Gravity's point of view on Databricks, Microsoft Fabric, and adjacent data platforms. Codify which platforms we lead with, where we partner, and where we walk away. Update the strategy as the market moves.
  • Lead on Databricks. Serve as one of the firm's senior technical authorities on Databricks Unity Catalog, Delta Lake, Lakehouse Federation, MLflow, Mosaic AI, Genie, DLT, and the partner program. Maintain a credible operator's view on what's production-ready and what isn't.
  • Lead on Microsoft Fabric. Serve as one of the firm's senior technical authorities on Microsoft Fabric OneLake, Lakehouse, Warehouse, Real-Time Intelligence, Data Factory, and the Fabric partner program. Stay current on Synapse, BigQuery, and the open table format ecosystem (Delta, Iceberg, Hudi), and make sure our architects can navigate multi-platform realities at our clients without ideology getting in the way.
  • Enable our existing delivery team. Define reference architectures, accelerators, code patterns, and quality bars for data platform engagements. Run internal enablement that sharpens the architects and engineers we already have, and makes them more effective on every engagement.
  • Drive pre-sales credibility. Lead technical discovery on qualified data platform opportunities. Shape proposals, scope engagements, and stand up in front of client CTOs, Chief Data Officers, and architecture leads. Be the technical reason a client picks Nimble Gravity.
  • Partner with the growth team. Work hand in glove with our sales leadership and account executives. Translate platform strategy into specific account plays. Identify expansion paths at existing MSA accounts. Influence pipeline and shorten sales cycles by being credible in the room early.
  • Own the Databricks and Microsoft Fabric partner relationships. Serve as the senior Nimble Gravity contact for Databricks and Microsoft Fabric field, partner, and product teams. Drive joint account planning, co-sell motion, deal registration, and partner program advancement with both. Coordinate with our Anthropic and broader Microsoft partner leads on opportunities that touch multiple platforms.
  • Capture and codify learnings. Turn every significant engagement into reusable assets - reference architectures, case studies, accelerators, ROI models, vision artifacts. Feed those back into the next pursuit so every cycle compounds.
  • Position the data platform offer portfolio. Shape and refine Nimble Gravity's data platform offerings modernization, migration, lakehouse build-outs, governance, AI-ready data foundations. Adapt offerings to specific client situations and to where our partner ecosystem creates the most leverage.
  • Cross-functional collaboration. Partner with the CTO, the office of the CTO, delivery, pre-sales, product, RevOps, and growth leadership. Coordinate cleanly with our Microsoft, Databricks, and Anthropic partner motions. Ensure smooth handoffs from sale to delivery and from delivery back into the next pursuit.
  • Market intelligence and positioning. Stay ahead of platform vendor product and program changes Databricks releases, Fabric maturation, open table formats, lakehouse-vs-warehouse positioning. Brief internal teams. Adjust our positioning fast when the market moves.
  • Represent Nimble Gravity in the data platform ecosystem. Show up at Databricks Data + AI Summit, Microsoft Ignite and Build, FabCon, partner briefings, joint customer engagements, and selected industry events. Be a credible, technical, business-literate face of Nimble Gravity that platform vendors want to bring into their accounts.ย 

Qualifications and Experienceย 

  • 10+ years of relevant experience, with a clear arc from hands-on data engineering or data architecture into technology leadership.
  • Deep, current Databricks expertise. You can defend an architecture decision in front of a client architect and a Databricks SA in the same meeting. Databricks certifications and field experience are strong signals.
  • Deep, current Microsoft Fabric expertise. You can hold your own with a client's Microsoft data architecture team and a Microsoft FastTrack lead in the same conversation. Microsoft data certifications and Fabric field experience are strong signals.
  • Working command of the broader data platform landscape Synapse, Azure Data Factory, Spark, Delta, Iceberg, dbt, Airflow, Unity Catalog or equivalent governance.
  • Proven track record leading data platform practices, capabilities, or centers of excellence. You have enabled senior delivery talent to do their best work and codified how a practice operates, not just delivered a project.
  • Demonstrated success partnering with sales and growth teams in a consulting or professional services environment. You can carry a technical conversation in pre-sales and you know how that conversation converts to revenue.
  • Experience working with platform vendor partner programs including deal registration, partner tiers, co-sell mechanics, partner-sourced versus partner-attached deals. Direct Databricks and Microsoft partner experience are strong pluses.
  • Working knowledge of how data platforms feed production AI retrieval, evaluation, governance, agentic systems, and where AI delivers measurable ROI on top of a modern data foundation.
  • Strong opinions, loosely held. You can defend a platform choice with conviction and change your mind when the evidence warrants it.
  • Excellent written and verbal communication. You can write an executive-level vision document and a technical reference architecture in the same week, and both will be sharp.
  • Experience defining best-in-class delivery processes and being hands-on enough to drive them through to adoption.
  • Demonstrated experience leading others in an entrepreneurial environment to achieve high performance. You can lead a team and you can ship through one.
  • Fluent English required; Spanish proficiency a plus.
  • Experience with revenue operations tools and systems; HubSpot preferred.
  • Self-starter who thrives in a fast-paced environment focused on customer growth.
  • Ability to work in the US and travel as needed; willing to spend meaningful time on site with clients, vendors, and at industry events.ย 

Why This Role Mattersย 

Data platforms are the foundation everything else sits on. Without a credible data platform practice, AI engagements stall, modernization programs drift, and clients lose patience. With one, we compound - every engagement leaves us sharper, every partnership opens new doors, and every client decision strengthens our position.ย 

Nimble Gravity has the raw material. We have Databricks delivery scars, an established Microsoft partnership, Anthropic launch-partner status, and 20+ FSI MSAs where data platform work can be landed and expanded. The CTO, Data Platforms is the person who turns that raw material into a durable, defensible practice. If you want to own one of the most important technical seats in modern data and AI consulting, this is it.ย 

About Nimble Gravityย 

Nimble Gravity is a data, AI, and digital engineering consultancy of approximately 250 people. We blend business insight with technical firepower to deliver real-world outcomes for ambitious leaders. We dive into complexity, move fast, and build what matters. Strategy, executed.ย 

We are a launch partner for Claude on Azure Foundry (GA November 2025), we have 20+ Claude-certified architects, and we hold MSAs with 20+ financial services accounts where data platform and AI engagements can be landed and expanded. Few firms have earned credibility across Microsoft, Databricks, and Anthropic at the FSI enterprise level. We have. The CTO, Data Platforms is the seat that compounds that advantage on the data side.ย 

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.ย