JOBS

Parts Town is seeking a strategic leader to architect and scale the modern data and engineering platform that fuels Parts Town’s AI and digital ambitions. Reporting to the Global CIO, this role owns the data platform, data engineering, integration, and governance capabilities that serve as the foundation for AI-driven innovation—partnering closely with product and data science teams without directly owning those functions.
This is a foundational platform engineering role with a future-focused charter: build the infrastructure that unlocks real-time, reusable, and responsible data across the enterprise.
Salary range for this role is $175,784.68 – $260,357.24 which is based on including but not limited to qualifications, experience, and geographical location. Benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.
Responsibilities:

• Platform Architecture & Data Engineering Leadership
  • Lead the design and implementation of a scalable, cloud-native platform (GCP preferred) for real-time data ingestion, transformation, and serving.
  • Architect pipelines and semantic layers to support AI, ML, and real-time decisioning.
  • Modern Integration Patterns: Promote API-first and event-driven architectures to unify ERP, commerce, and operational systems into a cohesive data mesh.
• Data Quality, MDM & Governance Data
  • Enable Trusted, Governed Data: Partner with Data Governance to operationalize stewardship, lineage, and access controls across business domains.
  • Master Data Foundations: Sponsor the implementation and lifecycle management of MDM platforms to ensure consistent data across customer, product, vendor, and location domains.
  • Support Federated Governance: Create engineering capabilities (catalogs, observability, policies as code) that empower decentralized teams to operate responsibly Manage engineering budgets efficiently to maximize impact
• Platform Enablement for AI and Digital Products
  • Serve as the Data Enabler for AI: Deliver the infrastructure that allows AI teams to build and deploy use cases (e.g., personalization, pricing, customer service agents) efficiently and at scale.
  • Operationalize AI Outputs: Work with IT and business systems to ensure AI insights are consumable in ERP, CRM, and operational workflows.
  • Platform as a Product: Evolve the platform with customer (data product, analytics, AI) feedback in mind—ensuring high availability, low latency, and extensibility.
• Strategic Leadership & Collaboration
  • Technology Vision & Roadmap: Develop and communicate a clear roadmap for the data platform that aligns with enterprise strategy and emerging AI demands.
  • Cross-Functional Partnership: Act as the connective tissue between IT, product, AI, and business units—ensuring platform capabilities align with priorities.
  • Support Governance Bodies: Contribute to the Data Council and Architecture Review Board (ARB) with insight into infrastructure readiness and scalability.
• Team Development
  • Build a High-Caliber Team: Lead and grow a team of platform engineers, data engineers, integration specialists, and MDM experts.
  • Mentor & Inspire: Develop engineering leadership, foster innovation, and drive a culture of continuous improvement and learning.
  • Drive Operational Excellence: Implement engineering best practices in CI/CD, testing, security, and observability to maintain a reliable platform.