Manager of Data Engineering & Architecture

Are you in search of a company that resonates with your proactive spirit and entrepreneurial mindset? Your search ends here with Premier Truck Rental
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At Premier Truck Rental (PTR), we provide customized commercial fleet rentals nationwide, helping businesses get the right trucks and equipment to get the job done. Headquartered in Fort Wayne, Indiana, PTR is a family-owned company built on a foundation of integrity, innovation, and exceptional service. We serve a wide range of industries—including construction, utilities, and infrastructure—by delivering high-quality, ready-to-work trucks and trailers tailored to each customer’s needs.

At PTR, we don’t just rent trucks—we partner with our customers to drive efficiency and success on every job site.

The Manager of Data Engineering & Architecture at PTR will lead and mentor the Data Engineering and Data Architecture teams, overseeing the delivery, reliability, and performance of modern and legacy data pipelines and infrastructure. This leader will ensure the effective execution of PTR’s data engineering strategy, supporting both innovation in the modern stack (Fivetran, Snowflake, dbt and Sigma) and continuity in legacy environments.

The manager will facilitate close partnership with Architects, the BI/analytics leaders, and cross-functional stakeholders to deliver high-quality, scalable, and secure data solutions for the business.

Onsite in Fort Wayne, IN

This position offers a competitive compensation package, benchmarked to regional market standards. It consists of a base salary plus the opportunity for quarterly profit sharing after one year of employment.

• Team Leadership
  :
  Direct, mentor, and develop the Data Engineering and Data Architecture teams (currently two Data Engineers and additional contract resources), fostering growth, accountability, and a culture of collaboration and excellence. As well as providing day-to-day direction, prioritization, and technical guidance to contractors supporting data engineering, data architecture, platform operations, or modernization efforts
• Project Oversight
  :
  Plan, delegate, and deliver on the building and maintenance of data pipelines, data models, and platform operations across the modern (Fivetran, Snowflake, dbt, Sigma) and provide input on legacy stacks.
• Stakeholder Collaboration
  :
  Partner with the current Architects (outside of Data Architects), BIM Program Manager, and business data owners to refine architecture standards, implement new technologies, and design data models to meet evolving business needs.
• Cross-Functional Alignment
  :
  Work closely with Analytics leadership (Analytics Manager, Lead BI Analyst, BI Developers/Analysts) on requirements gathering, backlog grooming, sprint planning, and analytics enablement.
• Operational Excellence
  :
  Ensure high standards for data quality, pipeline reliability, system performance, and secure operations by embedding best practices and process improvements.
• Architecture Leadership
  :
  Provide direct leadership to the Data Architect role, ensuring architectural decisions, standards, and platform roadmaps are aligned with business priorities, engineering capacity, and enterprise technology direction.
• Solution Governance
  :
  Review and guide solution designs, data models, integration patterns, and platform decisions to ensure scalability, maintainability, security, and operational supportability.
• Resource Management
  :
  Align capacity with business priorities, manage team workload, and recruit future engineering talent as needed.
• Cost & Performance Management
  :
  Oversee cloud usage/cost monitoring (with Data Operations), proactively manage and optimize resource allocations.
• Risk & Compliance
  :
  Champion security, governance, and compliance initiatives across engineering solutions.
• Documentation and Process
  :
  Ensure team adheres to high standards for technical documentation, runbooks, and knowledge sharing.
• Continuous Improvement
  :
  Drive adoption of Dev Ops/Data Ops principles, innovation in automation, and professional development for all team members.

• Bachelor's degree in computer science, Data…