Principal Architect Data and AI Platforms (Hybrid Work Schedule)

Principal Architect Data and AI Platforms (Hybrid Work Schedule) Parts Town is building a modern data and AI platform to support advanced analytics and emerging AI use cases across a rapidly growing organization. As a Principal Architect Data and AI Platforms, you will operate at the intersection of data architecture and hands‑on engineering, helping shape how data is modeled, exposed, and used across the business. Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On‑demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401(k) with match, employee assistance programs and time away – we’ve got you covered. The Job at a Glance This role focuses on owning and improving the core data foundations that power analytics and AI, from warehouse design and dimensional modeling to semantic layer development and system integration. You will work directly in the code and data, defining practical standards, reviewing implementations, and ensuring consistency and quality across the platform. You will partner closely with data engineers to challenge and refine solutions, ensuring the platform is built for scalability, usability, and reuse. You will also collaborate with product, governance, and security stakeholders to align on definitions, data quality, and access patterns so that data can be trusted and consistently used across the organization. This is a hands‑on role for someone who can move between modeling, SQL, and system design, and who is comfortable stepping into the details to make sure things are built the right way. A Typical Day Design and refine dimensional data models (fact/ dimension, star schemas) to support analytics and AI use cases. Write, review, and optimize SQL used across the warehouse and semantic layer. Build and evolve the semantic or metrics layer to ensure consistent, trusted business definitions. Partner directly with data engineers to review implementations, challenge design decisions, and improve data pipelines. Debug data issues across the stack, from ingestion through transformation to consumption. Modify or extend APIs and services to make data and functionality accessible for downstream systems and AI workflows. Build connectors or lightweight services that enable systems to interact programmatically. Translate business and product requirements into practical data models and system designs. Identify gaps in the current architecture and drive pragmatic improvements without overengineering. Support AI and agent‑driven use cases by ensuring data is structured, accessible, and reliable. To Land This Opportunity You have 7–10 years of experience in data engineering, analytics engineering, or data architecture in production environments. You have deep, hands‑on SQL skills and are comfortable working directly in complex warehouse environments. You have experience working across multiple modern data warehouse platforms (e.g., BigQuery, Snowflake, Redshift, Databricks) and understand their tradeoffs. You have strong experience modeling data using Kimball‑style dimensional modeling (fact/ dimension design, star schemas), and have owned or significantly influenced modeling standards. You have built or maintained semantic layers or metrics layers that support BI and downstream applications at scale. You have strong programming skills (Python preferred) and can build or modify APIs, services, or connectors when needed. You have experience working closely with data engineers and are comfortable reviewing, challenging, and improving engineering implementations. You understand how data moves across systems end‑to‑end, from ingestion through transformation to consumption, and have taken ownership of parts of that lifecycle. You are comfortable operating in ambiguous environments and taking ownership of the details that make systems actually usable. You have exposure to AI/ML or LLM‑based workflows and understand how data platforms need to evolve to support them. Benefits The salary range for this role is $129,210.34 – 174,374.13, based on qualifications, experience, and geographical location. In addition to base pay, some roles offer a profit‑sharing program and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental, and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and is an equal‑opportunity employer; all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability, or protected veteran status. #J-18808-Ljbffr