Enterprise Data & Analytics Architect in Raleigh, NC at Advance Auto Parts

Date Posted: 9/29/2021

Career Snapshot

  • Employee Type:
  • Location:
    Raleigh, NC
  • Career Type:
  • Date Posted:

Career Description

Job Description

Advance Auto Parts is looking for an Enterprise Data & Analytics Architect to partner with business, D&A team and other technology leaders to drive  innovative solutions that further our enterprise strategy, thus enabling Advance Auto Part's Mission of having a "passion for Customers, Passion for Yes".

Successful candidates will be thought leaders with strong critical thinking and collaboration skills, the ability to communicate clearly and have a consistent record of driving forward-looking solutions. The ideal candidate is a trusted partner of the business not only passionate of about technology but focused on the customer and business outcomes. The day-to-day work is interesting, challenging and fast-paced!

NOTE: Open to remote work within the US.

Roles and Responsibilities

  • Define architecture, framework, methodologies and governance for data analytics, reporting, data visualization and D&A platforms – data lake, data integration, data warehouse, master data.
  • Partner closely with the business and D&A teams on building solutions that align with defined architecture principles and business strategy.
  • Partner with technology and business leaders as well as other enterprise architects to understand interdependencies and align architectural initiatives across the enterprise.
  • Analyze and evaluate emerging technology trends and landscape and translate into technology roadmaps and reference implementations.
  • Develop best practices, standards and patterns to enable technology selection, build vs buy decisions and their adoption across the enterprise
  • Participate in the Architecture Review Board to evaluate and approve architecture deliverables that align with the strategic goals.
  • Mentor, coach and strengthen the technical expertise in the D&A engineering and architecture practice.


Technical Experience

  • 5+ years with hands-on architecture experience in architecting, designing and building performant, resilient, high throughput and  secure enterprise grade solutions.
  • 3+ hands-on experience architecting and delivering data warehouses, data lakes, and analytics, data reporting and data visualization platforms.
  • 3+ years of hands-on experience in developing and implementing governance in data visualization tools - Power BI, Tableau, etc.
  • In-depth experience with data modelling, managing structured and unstructured data and ETL/ELT frameworks
  • Experience with AI/ML and predictive analytics.
  • Experience with public cloud platforms deployment and frameworks - AWS, Azure, and data integration between on premise, private and public clouds.
  • Experience with Enterprise Architecture Frameworks like TOGAF, Lean IX, ArchiMate or Zachman
  • Experience driving architectural solutions in an agile environment.
  • Experience in the Retail business domain

Problem Solving Analytical Skills

  • Strategic problem solving and strong solutions designing skills.
  • Abstract thinking skills, comfort level with concepts of application, data and technology architectures. Ability to switch between  conceptual, logical and physical views.
  • Ability to build and validate hypotheses as well as prototype solutions or evaluate new technologies.
  • Ability to consider multiple options, sources, perspectives and evaluate their importance, relevance and validity.

Communication Skills

  • Build and grow strong relationships with business leaders, technical leaders, product owners, enterprise architects and other stakeholders.
  • Strong written and verbal skills, ability to communicate effectively at all levels the organization.
  • Strong ability to evangelize strategy and best practices across the organization.


  • Bachelor’s or Master’s Degree in the STEM discipline and 10+ years of experience.
  • Scaled Agile Framework (SAFe)
  • Enterprise Architecture Frameworks like LeanIX, TOGAF, ArchiMate, etc.