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PACCAR

Data Architect

Renton, WA, United States

$132,000 to $213,500 USD / year

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Job details

Pay: $132,000 to $213,500 USD / year
Education: Bachelor’s degree
Experience: · 12+ years of progressive experience in data architecture, enterprise systems, analytics, or related technology disciplines.
Posting language: English
Posted: Nov 9, 2026

Original job description

Technical Fellow, Enterprise Data Architecture

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started!

Position Summary

The Technical Fellow, Enterprise Data Architecture is PACCAR's highest level individual contributor within the data and analytics discipline. This role serves as the company's foremost technical authority on enterprise data strategy, architecture, governance, integration, and emerging data technologies. The Technical Fellow establishes long-term architectural direction, influences enterprise technology investments, and leads the design of scalable data platforms that enable business transformation across PACCAR divisions and global operations.

Operating with significant autonomy, the Technical Fellow provides technical leadership across multiple business units and disciplines, drives innovation through advanced analytics and AI readiness initiatives, and influences executive decision-making through deep expertise and strategic vision. The role acts as a trusted advisor to senior leadership and is responsible for developing enterprise-wide standards, frameworks, and architectural roadmaps that have long-term business impact.

Essential Functions

Enterprise Data Strategy & Architecture

Define and maintain PACCAR's enterprise data architecture vision, strategy, standards, and technology roadmap.
Establish architectural principles, governance frameworks, and technical standards for enterprise data management, analytics, AI, machine learning, and cloud platforms.
Lead the design of complex, scalable data ecosystems encompassing data warehousing, lakehouse architectures, real-time integration, master data management, and business intelligence solutions.
Evaluate emerging technologies and provide strategic recommendations regarding future enterprise investments.

Technical Leadership

Serve as the organization's foremost technical expert in data architecture and advanced analytics.
Provide technical direction and architectural oversight for enterprise-wide initiatives spanning multiple business units and technology domains.
Lead resolution of the company's most complex architectural and data-related challenges.
Guide senior technical professionals, architects, engineers, and technology leaders through mentoring, consultation, and technical reviews.
Establish best practices and influence technical decision-making across global teams.

Innovation & Transformation

Drive enterprise modernization initiatives involving cloud platforms, data governance, artificial intelligence, predictive analytics, automation, and digital transformation.
Identify opportunities to leverage data as a strategic business asset and translate business needs into long-term architectural solutions.
Champion AI readiness and advanced analytics capabilities while ensuring scalability, security, compliance, and data quality.
Lead proof-of-concept initiatives and emerging technology evaluations with enterprise-wide implications.

Governance & Business Partnership

Partner with executive leadership to align technology strategy with business objectives.
Establish and maintain enterprise governance models for data quality, security, privacy, metadata management, and regulatory compliance.
Influence organizational priorities through thought leadership, technical expertise, and strategic consultation.
Represent PACCAR as a recognized subject matter expert with external partners, vendors, industry groups, and professional organizations

Leadership Expectations

This position functions as a senior technical leader and may not have direct supervisory responsibilities. Influence is achieved through technical expertise, strategic consultation, and organizational leadership rather than formal people management. The Technical Fellow is expected to:

Define enterprise technical direction.
Influence executive and senior leadership decision-making.
Mentor senior architects and technical professionals.
Lead cross-functional initiatives spanning multiple business units.
Establish policies, standards, and practices affecting the enterprise.

Scope & Impact

Enterprise-wide influence across multiple PACCAR divisions and functions.
Decisions have long-term impact on technology strategy, investment priorities, risk management, innovation, and business capability development.
Frequently advises vice presidents, executive leadership, and senior technology leaders.
Recognized as the highest-level subject matter expert within the discipline.
Creates new approaches, frameworks, and architectural standards that shape organizational direction.

Basic Qualifications

· Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field required.

· 12+ years of progressive experience in data architecture, enterprise systems, analytics, or related technology disciplines.

· 5+ years as principal architect, senior technical lead, or equivalent senior level with proven examples of success leading enterprise-scale architecture programs and transformational initiatives

· Recognized expertise in enterprise data platforms, cloud architecture, data governance, analytics, AI/ML, and systems integration.

· Experience influencing executive stakeholders and driving organization-wide technical strategy.

· Executive communication and presentation skills with a proven ability to influence without formal authority through technical credibility and thought leadership.

· Demonstrated ability to create new frameworks, methodologies, standards, and enterprise best practices.

Preferred Qualifications

· Master's degree preferred.

Benefits

As a U.S. PACCAR employee, you receive a comprehensive benefits package including:

Fully funded pension plan plus 401(k) with up to 5% company match
Employee Stock Purchase Plan (ESPP) to invest in PACCAR stock
Minimum 10 paid vacation days, 12 paid holidays, and sick time
Medical, dental, and vision plans for you and your family
Flexible spending accounts (FSA) and health savings accounts (HSA)
Paid short- and long-term disability, life insurance, and accidental death and dismemberment coverage
Tuition reimbursement for continued learning
Employee Assistance Program (EAP) including wellness plans, estate planning, and financial counseling

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H-1B visas, now or in the future. The salary range for this position is $132,000 - $213,500 annually. Additionally, this role is eligible for the full range of benefit options listed above.

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More about this job

Skills

Leadership
Decision making
Data management
Machine learning
Data warehousing
Business intelligence
Coaching
Artificial intelligence
Regulatory compliance
Team leadership
Risk management
Computer science
ML
Communication skills
Presentation skills

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