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Data Modernization Jobs in Oregon (NOW HIRING)

Principal Technical Product Marketing Manager

OR · On-site +1

$166K - $192K/yr

Support Striim's technical narrative across Application & Data Modernization, Event Stream Processing, and Enterprise AI use cases, translating complex platform capabilities into compelling technical ...

Application & Data Modernization, Event Stream Processing, and the Real-Time Contextual Data Platform for Enterprise AI. This role will translate Striim's real-time data streaming, change data ...

Act as a senior technical advisor, engaging confidently on enterprise architecture, cloud modernization, real-time data streaming, distributed systems, AI readiness, and operational resiliency.

$63.75 - $82/hr

Our services include AI Implementation, Application Modernization, Data & Analytics, Product Engineering, AI-Accelerated Delivery, and Embedded Engineering Teams. We deliver agentic workflows in 8-12 ...

Data Architect

OR · On-site +1

$63.75 - $82/hr

Guide DBAs and engineering teams on database architecture, PostgreSQL and Microsoft SQL modernization, replication or change-data-capture patterns, performance isolation, backup, recovery, and ...

Senior Manager, Finance Data Platform

OR · On-site +1

$108K - $148K/yr

Lead the modernization and migration of Finance data capabilities onto the enterpriseDatabricks Lakehouseplatform. * Design and oversee scalable ingestion, transformation, integration, and publishing ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

We thrive in solving our customer's challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital ...

This individual will lead the design, development, modernization, and operation of enterprise-scale data platforms while driving engineering excellence across our cloud-native data ecosystem. You ...

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

Create multi-year architecture and modernization roadmaps. Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement. Provide thought leadership on ...

Experience supporting enterprise-scale transformation or modernization programs. Technical Skills Programming & Analytics * SQL (Advanced) * Python * Alteryx * Power BI * Excel Data & Integration

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Showing results 1-20

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Oregon?

For Data Modernization jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Data Modernization job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Technical Product Marketing Manager

OR • On-site, Remote

Striim, Inc.
Software Development • 51 - 200 employees

$166K - $192K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago


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.