Data Architect

PACCAR•Renton, WA

About The Position

The Technical Fellow, Enterprise Data Architecture is PACCAR's highest-level individual contributor in data and analytics, serving as the company's foremost technical authority on enterprise data strategy, architecture, governance, integration, and emerging data technologies. The role establishes long-term architectural direction, influences enterprise technology investments, and leads the design of scalable data platforms supporting business transformation across PACCAR divisions and global operations. With significant autonomy, the Technical Fellow provides technical leadership across business units and disciplines, advances analytics and AI readiness, and informs executive decisions through strategic expertise. The role advises senior leadership and develops enterprise-wide standards, frameworks, and architectural roadmaps with long-term business impact. It is a senior technical leadership position that may not include direct supervisory responsibilities; influence is exercised through technical expertise, strategic consultation, mentoring, and organizational leadership.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • 12 or more years of progressive experience in data architecture, enterprise systems, analytics, or related technology disciplines.
  • Five or more years as a principal architect, senior technical lead, or equivalent senior-level professional, with demonstrated 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, including the ability to influence without formal authority through technical credibility and thought leadership.
  • Ability to create frameworks, methodologies, standards, and enterprise best practices.

Nice To Haves

  • Master's degree.

Responsibilities

  • 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 scalable data ecosystems, including data warehousing, lakehouse architectures, real-time integration, master data management, and business intelligence solutions.
  • Evaluate emerging technologies and recommend strategic enterprise investments.
  • Provide technical direction and architectural oversight for enterprise-wide initiatives spanning business units and technology domains.
  • Lead resolution of complex architectural and data-related challenges.
  • Mentor, advise, and conduct technical reviews with senior technical professionals, architects, engineers, and technology leaders.
  • Establish best practices and influence technical decisions across global teams.
  • Drive modernization initiatives involving cloud platforms, data governance, artificial intelligence, predictive analytics, automation, and digital transformation.
  • Identify opportunities to use data as a strategic business asset and translate business needs into long-term architectural solutions.
  • Advance AI readiness and analytics capabilities while addressing scalability, security, compliance, and data quality.
  • Lead proof-of-concept initiatives and evaluations of emerging technologies with enterprise-wide implications.
  • 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 technical expertise, strategic consultation, and thought leadership.
  • Represent PACCAR as a subject matter expert with external partners, vendors, industry groups, and professional organizations.
  • Define enterprise technical direction and influence executive and senior leadership decision-making.
  • Lead cross-functional initiatives across multiple business units and establish enterprise-affecting policies, standards, and practices.

Benefits

  • Fully funded pension plan.
  • 401(k) with up to 5% company match.
  • Employee Stock Purchase Plan (ESPP).
  • At least 10 paid vacation days, 12 paid holidays, and sick time.
  • Medical, dental, and vision plans for employees and their families.
  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service