Solution Architect, Customer Data and MarTech

About the role

At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers. We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun. Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose! Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (master's degree a plus). Work Experiences: 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions M arTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels . Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions. Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers. Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage. Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution. Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms. End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation. Background integrating CMS/DAM platforms with personalization and engagement ecosystems. Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data. Experience evaluating and selecting MarTech /AdTech platforms, including build vs buy decisions and vendor architecture assessments. Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming). Experience working with Data Science teams to operationalize ML models into customer-facing workflows. Exposure to AI-driven engagement, automation, and GenAI is considered a plus.