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Databricks Architect Jobs in Oregon (NOW HIRING)

Principal Technical Product Marketing Manager

OR Β· On-site +1

$166K - $192K/yr

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

AI Engineer

OR Β· On-site +1

$155K - $180K/yr

Help advancing our AI architecture for interacting with complex and unstructured healthcare ... AWS, GCP, Databricks, Airflow, Datadog AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector ...

Data Engineer - Senior Manager

Portland, OR Β· On-site

$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 ...

... architecture of ETL/ELT solutions to source and transform the data required for reporting and ... Databricks, Spark. β€’ HTML, JavaScript, and CSS with modern frameworks. β€’ Single Sign-On and ...

Senior Software Engineer - Machine Learning Platform

OR Β· On-site +1

$122K - $161K/yr

... scalable architecture. Minimum Qualifications * 6+ years of software engineering experience ... Python, Kotlin, Databricks, and AWS. * Exhibits a growth mindset. You pick up new technologies that ...

Collaborate with cross-functional partners including architects, engineers, and site reliability ... Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a ...

Showing results 41-60

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 job categories do people searching Databricks Architect jobs in Oregon look for?

The top searched job categories for Databricks Architect jobs in Oregon are:

Infographic showing various Databricks Architect job openings in Oregon as of September 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Principal Technical Product Marketing Manager

OR β€’ On-site, Remote

Striim, Inc.
Software DevelopmentΒ β€’Β 51 - 200 employees

$166K - $192K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago


Key responsibilities

  • Support Striim's technical narrative by translating complex platform capabilities into technical positioning and market differentiation.

  • Develop and maintain reference architectures, deployment patterns, architecture diagrams, and technical solution narratives for various enterprise initiatives.

  • Create technical practitioner-focused content such as blogs, whitepapers, demos, and conference presentations.


Job description

We are seeking a highly technical and commercially minded Technical Product Marketing leader to support Striim's technical narrative across Application & Data Modernization, Event Stream Processing, and the Real-Time Contextual Data Platform for Enterprise AI. In this role, you will serve as the bridge between Product, Engineering, Sales, Alliances, and the developer community, transforming complex technical capabilities into compelling architectures, technical proof points, practitioner content, and field-ready assets that drive adoption, influence buying decisions, and accelerate revenue growth.

The ideal candidate combines deep expertise in modern data platforms, distributed systems, cloud technologies, and AI architectures with exceptional communication skills and a passion for technical storytelling. The Principal Technical Product Marketing Manager is a critical role in shaping how enterprise architects, data engineers, platform teams, and technology leaders understand and evaluate Striim, while helping establish the company as a category leader in real-time data infrastructure and Enterprise AI.

Responsibilities
  • Support Striim's technical narrative across Application & Data Modernization, Event Stream Processing, and Enterprise AI use cases, translating complex platform capabilities into compelling technical positioning and market differentiation.
  • Develop and maintain reference architectures, deployment patterns, architecture diagrams, and technical solution narratives for enterprise modernization initiatives, real-time streaming applications, cloud migrations, and AI-driven data platforms.
  • Create highly technical practitioner-focused content, including blogs, whitepapers, benchmark studies, tutorials, demos, GitHub samples, reference implementations, and conference presentations.
  • Lead the technical component of product launches, ensuring the successful delivery of architecture briefs, demo environments, technical enablement materials, hands-on labs, and adoption-focused launch assets.
  • Partner closely with Product Management, Engineering, Sales Engineering, and Alliances teams to translate product innovation into field-ready technical assets and customer-facing proof points.
  • Support Striim's technical competitive intelligence program, delivering architecture comparisons, migration strategies, benchmarking analysis, and competitive win/loss insights.
  • Enable Sales Engineering teams through technical training, demo development, proof-of-concept frameworks, evaluation methodologies, and architecture review support for strategic enterprise opportunities.
  • Support high-value enterprise pursuits by engaging directly with customers, prospects, partners, and technical decision-makers throughout evaluation, architecture review, and proof-of-concept phases.
  • Represent Striim within analyst briefings, industry conferences, technical communities, customer advisory boards, webinars, and developer-focused events.
  • Act as a trusted advisor to Product and Engineering leadership by bringing field insights, customer feedback, competitive intelligence, and practitioner perspectives into roadmap planning.
  • Leverage AI-enabled tools and workflows to accelerate technical content creation, research, enablement, and market engagement while maintaining exceptional technical accuracy and credibility.

Requirements

  • 10+ years of experience in enterprise software, with significant experience in Technical Product Marketing, Developer Relations, Solutions Engineering, Product Management, or a related technical go-to-market function.
  • Strong technical expertise in modern data architectures, distributed systems, cloud platforms, streaming technologies, data integration, analytics, or AI infrastructure.
  • Ability to communicate complex technical concepts-including change data capture (CDC), event streaming, distributed processing, data pipelines, and AI architectures-to highly technical audiences.
  • Hands-on familiarity with modern data and AI ecosystems, including technologies such as Kafka, Spark, Flink, Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, Apache Iceberg, or similar platforms.
  • Demonstrated success creating technical content that drives practitioner engagement, including architecture guides, benchmarks, tutorials, demos, technical blogs, conference presentations, or open-source contributions.
  • Experience supporting enterprise software sales cycles through technical positioning, proof-of-concept guidance, competitive differentiation, and customer-facing engagements.
  • Exceptional written and verbal communication skills with the ability to engage technical stakeholders ranging from Data Engineers and Architects to CTOs and executive leadership.
  • Familiarity with enterprise sales methodologies such as MEDDPICC, Challenger Sale, or similar consultative sales frameworks.
  • Experience leveraging AI-powered tools such as ChatGPT, Claude, Cursor, Gong AI, or similar technologies to improve productivity and content development.

Preferred Qualifications

  • Deep domain expertise in Change Data Capture (CDC), real-time data streaming, event-driven architectures, streaming analytics, data integration, or the Apache Kafka ecosystem.
  • Experience with modern cloud data platforms, including Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, or comparable technologies.
  • Prior experience supporting AI-native, agentic AI, machine learning, retrieval-augmented generation (RAG), Model Context Protocol (MCP), or enterprise AI platforms.
  • Background in software engineering, solutions architecture, sales engineering, developer advocacy, or product management prior to moving into technical marketing.
  • Experience scaling high-growth B2B software organizations through significant revenue growth and market expansion.
  • Analyst relations experience, including engagements with Gartner, Forrester, IDC, or similar industry analyst organizations.
  • Proven conference speaking experience at industry events such as Kafka Summit, KubeCon, Google Cloud Next, AWS re, Current, or similar technical conferences.
  • Experience marketing and supporting enterprise software solutions within highly regulated industries, including financial services, healthcare, telecommunications, retail, or public sector.
  • Demonstrated ability to influence technical buying committees and enterprise architecture teams through technical storytelling, thought leadership, and practitioner-focused content.

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$215,000 - $225,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn variable-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.