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Data Architect

At Magnolia, the Data Architect will design and evolve the data infrastructure that drives smarter business decisions across merchandising, eCommerce, supply chain to customer insight. In this role, you will build scalable, modern data solutions and act as a key partner across business, product, and engineering teams to ensure Magnolia's decisions are grounded in truth, quality, accuracy, and accessibility. This position works from the Magnolia Headquarters in Waco, Texas. The Data Architect reports to the Sr. Manager of Engineering and has no supervisory responsibilities.

Essential Duties And Responsibilities

• Design robust, secure, and scalable data architectures to support high-volume retail data from systems including POS, ERP, OMS, WMS, CRM, and digital commerce platforms
• Define logical and physical data models for key domains including customer, product, inventory, and transactions. Align structures across source systems and analytic layers
• Design data lakes, data warehouses, and semantic layers that support enterprise BI, self-service reporting, and customer analytics (360 view) across digital and physical touchpoints
• Lead the design of efficient ETL / ELT pipelines, data orchestration workflows, and streaming integrations to enable near real-time insights
• Define and enforce standards for data integrity, lineage, classification, and stewardship. Establish guardrails for accuracy, security, and privacy
• Lead efforts to refactor or migrate legacy systems to cloud-native platforms such as Snowflake, Redshift, or Databricks. Drive adoption of scalable tools and modern practices
• Work cross-functionally to understand analytical needs and translate them into clear, performant data structures and access patterns
• Ensure data infrastructure supports advanced use cases like predictive modeling, customer segmentation, and machine learning pipelines
• Maintain architectural artifacts including data dictionaries, lineage diagrams, and process documentation. Serve as the SME for how Magnolia's data flows and fits together
• Provide guidance to data engineers, analysts, and stakeholders on best practices, performance tuning, and scalable design decisions
• Perform other duties as assigned
• Metrics evaluated on Performance Review

Competencies

Eligibility Qualifications

Physical Demands

While performing the duties of this job, the employee is regularly required to sit; use hands and arms to reach, handle, feel; utilize fine motor dexterity of fingers; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is frequently required to climb or balance and stoop, kneel, crouch, or crawl. The employee must frequently lift and / or move up to 10 pounds, and occasionally lift and / or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

While performing the duties of this job, the employee is occasionally exposed to outside weather conditions. The noise level in the work environment is usually moderate.

Acknowledgements

Magnolia is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. This job description has been designed to indicate the general nature and level of work performed by an employee in this classification. It is not to be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications of employees assigned to this job. Management has the right to add to, revise, or delete information in this description at any time.