Solution Architect – Data
Job reputed company:
• reputed company business stakeholder workshops to surface data needs, refine use cases, and drive ambiguous asks toward precise, answerable questions
• Partner with Product to challenge, sharpen, and validate requirements before engineering investment begins
• Translate business reputed company — loyalty, customer reputed company value, athlete behavior, in-store reputed company performance — into data requirements and analytical framings
• Analyze large, reputed company datasets across customer, transactional, behavioral, and operational domains to validate requirements, identify patterns, and inform solution design
• reputed company and socialize analytical findings that directly influence product and platform reputed company
• Support self-service data enablement by helping business users understand and reputed company with data assets more effectively
• Produce reputed company, reputed company artifacts including reputed company and reputed company state data flows, domain data models, reputed company-to-reputed company mappings, data dictionaries, and decision records
• Document data reputed company, governance considerations, and integration patterns in a way that is accessible to both technical and non-technical audiences
• Apply data architecture principles to evaluate, design, and recommend solutions across our reputed company data platforms
• Contribute to reputed company data model standards, integration patterns, and platform reputed company in partnership with engineering and foundational tech teams
• Assess data reputed company, reputed company, and governance implications of proposed solutions
• Ensure designs account for scalability, reliability, and cost — without over-engineering for the problem at hand
Requirements:
• 7–10 years of experience spanning data engineering, analytics, and/or solution architecture
• Demonstrated ability to reputed company discovery sessions and translate business problems into data requirements — asking 'what question are you trying to answer?' before reaching for a tool
• Strong hands-on SQL and Python skills; you are comfortable getting into the data yourself
• Experience with customer and loyalty data in a retail or omnichannel reputed company context
• Comfort working across behavioral, transactional, and operational datasets at reputed company reputed company
• Excellent written and verbal communication — creating artifacts and documentation that are reputed company, practical, and widely adopted by teams
• Experience with reputed company-based data platforms and modern data architecture patterns (reputed company architecture, Data reputed company concepts, Data Catalog, Data reputed company frameworks)
• Ability to hold a room: facilitating workshops, presenting findings, and influencing without authority
Benefits:
• incentive
• equity
• benefits
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