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Lead Data Engineer Jobs in Oregon (NOW HIRING)

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field. * 8+ years of progressive experience in data architecture, data engineering, or a related role ...

The Opportunity As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide ...

The Opportunity As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership ...

New

$200K/yr

Key Responsibilities Lead, mentor, and develop a team of Data Engineers supporting enterprise reporting, analytics, AI, and data science initiatives. Design, build, and maintain scalable data ...

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Partner with Data Engineering teams to ensure architecture standards and enterprise data models are consistently implemented. * Lead architecture reviews, solution design sessions, and technical ...

Lead Software Engineer - NIKE Inc., Beaverton, OR. Manage the coordination and overall integration ... Spark for Data Engineering including batch and streaming pipelines * Advance SQL including complex ...

Overview We are currently seeking a Senior Data Manager/REDCap programmer who, in collaboration ... You will lead the design and implementation of complex REDCap databases, API-based integrations ...

Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines ...

Showing results 41-60

Lead Data Engineer information

See Oregon salary details

$44.9K

$130.9K

$190.8K

How much do lead data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for lead data engineer in Oregon is $130,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $142,700.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What job categories do people searching Lead Data Engineer jobs in Oregon look for?

The top searched job categories for Lead Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Lead Data Engineer jobs?

Cities in Oregon with the most Lead Data Engineer job openings:

Infographic showing various Lead Data Engineer 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, with an average salary of $130,875 per year, or $62.9 per hour.

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary

The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data, analytics, SAP S/4HANA transformation, and AI-enabled operating model. This role is accountable for building the data foundation that enables trusted insight, intelligent decision-making, and scalable automation across the business.

This position goes beyond traditional analytics leadership. It connects business strategy, enterprise systems, and data architecture to create measurable advantage across merchandising, DTC, wholesale, supply chain, finance, and global operations. The Senior Director will partner closely with business and technology leaders to translate KEEN's transformation priorities into scalable data capabilities, modern analytics, AI readiness, and actionable decision support.

Success in this role requires deep SAP S/4HANA and data leadership experience, strong business acumen, and the ability to build the data foundation needed for an AI-enabled enterprise.

Essential Functions

Description

  • Lead data and analytics readiness for the SAP S/4HANA program, ensuring master data, KPI definitions, reporting needs, and enterprise data structures support future-state business processes.
  • Define and communicate a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-range planning.
  • Lead enterprise data architecture and platform direction, ensuring scalability, governance, reliability, and future AI enablement.
  • Develop and lead KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Identify and prioritize high-impact analytics and AI opportunities across merchandising, DTC, wholesale, supply chain, and finance to deliver measurable business outcomes.
  • Establish enterprise data governance standards, KPI harmonization, and decision rights to improve trust, consistency, and usability of information.
  • Build and develop a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
  • Serve as a trusted advisor to executive leadership and communicate progress through business impact metrics, adoption, and value delivered.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.

Qualifications

  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
  • Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
  • Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
  • Minimum of five (5) years leading enterprise-scale data or analytics teams.
  • Strong SAP S/4HANA background required, including experience supporting enterprise process transformation and data readiness required.
  • Strong retail, consumer goods, footwear, apparel, or omnichannel commerce experience required.
  • Demonstrated success applying data, analytics, and enterprise systems to improve revenue growth, margin, inventory optimization, demand forecasting, customer engagement, or operational efficiency required.
  • Experience leading AI readiness or advanced analytics initiatives preferred.
  • Experience operating in federated or hub-and-spoke environments preferred.

Any equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.

Knowledge, Skills, and Abilities

Strategic & Industry Expertise

  • Deep understanding of retail / consumer operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics, SAP S/4HANA Embedded analytics, and AI initiatives directly to business KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand operating nuances and market dynamics.
  • Visionary mindset with the ability to articulate a practical enterprise transformation roadmap.

Technology & Architecture Leadership

  • Strong knowledge of SAP S/4HANA and how ERP design impacts data, reporting, and decision-making.
  • Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
  • Experience building governed semantic layers and standardized KPI frameworks.
  • Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
  • Ability to build the data foundation required for scalable AI use cases.

Leadership & Organizational Impact

  • Proven ability to influence executives and senior business leaders.
  • Strong change management and communication skills.
  • Experience building and scaling enterprise capability functions and cross-functional teams.
  • Ability to unify technical and business stakeholders around shared goals.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required: Yes, 5% of the time.

Base Salary: $217,600.00 - $229,615.00

The salary range posted for this position represents the anticipated hiring range for this role. Offers are made within this range based on factors such as relevant experience, skills, education, internal equity, and market considerations. This is the hiring range for the position; compensation above the posted maximum is not typically available at the time of offer.

Work Location: Hybrid

This role is based in the Portland, OR area and follows a hybrid work model. Employees are expected to reside within a reasonable commuting distance of our Portland office and generally work on-site four days per week, with flexibility based on business and team needs.

Why Work at KEEN:  Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that's on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protect the places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place.  

At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples.

Fuerst Group, KEEN, and Chrome are equal opportunity employers.  We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.