Data Architect

Position Overview

Join our team as a Data Architect responsible for designing, governing, and evolving our enterprise data architecture to ensure consistent, scalable, and reliable data.

• Own and evolve enterprise data architecture across the custom point-of-sale database, data warehouse, and semantic models to support long-term business and analytics strategy
• Assess current data structures and lead improvements to increase consistency, reuse, scalability, and clarity across the organization
• Establish and govern data modeling practices, including standards, naming conventions, and recommended approaches
• Select and maintain the data modeling and documentation tool used as the system of record
• Provide architectural leadership for data initiatives by partnering on application and system design to ensure data structures align with enterprise architecture and scale over time
• Review and approve data model and schema changes to protect integrity, reduce duplication, and ensure adherence to standards
• Establish and enforce a formal data architecture review and change control process
• Define and standardize data integration architecture and patterns to ensure data movement is scalable, efficient, and consistent, with clear systems of record and sources of truth
• Lead data governance efforts by defining data definitions, ownership, lineage, and stewardship practices to promote trust, consistency, and transparency in data use
• Partner with business and technology stakeholders to align data architecture with priorities and ensure data supports key decision‑making
• Shape and influence long‑term data platform strategy by evaluating technologies, recommending improvements, and guiding evolution of the data ecosystem to support growth and advanced analytics

• Bachelor's Degree
• Minimum 5 years of relevant Data Architecture experience
• Strong expertise in data modeling (dimensional modeling and relational design)
• Deep understanding of data architecture across operational systems, data warehouses, and semantic models
• Knowledge of data governance practices (lineage, stewardship, and metadata management)
• Proficiency with SQL and experience working with enterprise data platforms
• Familiarity with Microsoft data technologies (SQL Server, SSIS, SSAS, and Power BI)
• Experience with data modeling and documentation tools
• Strong analytical and problem‑solving skills with a focus on scalability and performance
• Experience working with semantic models and analytical layers
• Excellent communication skills with the ability to work across technical and business teams
• Ability to influence design decisions and guide development teams toward best practices
• Experience evaluating and selecting data tools and technologies
• Ability to design and evolve enterprise data architecture aligned with long‑term business and technology strategy

• Experience defining and implementing enterprise data standards and governance frameworks
• Experience designing and optimizing data integration patterns and pipelines
• Exposure to modern data platforms or cloud‑based architectures
• Experience working with semantic models and analytical layers

• Competitive Compensation
• Medical, Dental, and Vision plans
• Paid Time Off, Paid Holidays
• Daily Pay available
• 401(k) with company match
• Tuition Reimbursement
• Lucrative Associate Referral Program
• Company Apparel and Work Boot Vouchers
• Opportunity for Advancement
• Paid Training and Business Certifications available
• Free Counseling Services/Employee Assistance Program
• Life Insurance and Short‑ and Long‑Term Disability Insurance
• Product Discounts
• Most Branches never work Sundays