Data Architect

Delta Star - Corporate, 3550 Mayflower Drive, Lynchburg, Virginia, United States of America

Delta Star Inc. is seeking a strategic and hands‑on Data Architect to establish and evolve our enterprise data foundation. This role will simplify and structure data across sales, operations, supply chain, finance, engineering, and other business functions—enabling reliable reporting, scalable analytics, and data‑driven decision‑making.

As a Data Architect, you will define and implement a scalable data architecture that supports enterprise reporting, analytics, and operational efficiency. You’ll assess current systems, establish standards, design data models, and partner with business and technical teams to create a more unified, accessible, and actionable data environment.

Your day may include evaluating data across ERP, CRM, and other systems, designing data models and semantic layers, or collaborating with Finance, Operations, and Engineering teams to define reporting needs. You’ll analyze existing tools, simplify data flows, and develop a roadmap for future‑state data platforms.

• Assess, document, and inventory enterprise data sources, integrations, and reporting dependencies.
• Define current‑state and target‑state data architecture, including integration patterns and phased roadmap.
• Establish and enforce enterprise data standards (modeling, naming conventions, structures, metadata, and documentation).
• Design and implement scalable data models, curated datasets, and semantic layers for reporting and analytics.
• Evaluate and rationalize data tools and reporting platforms to reduce redundancy and complexity.
• Develop and maintain a roadmap for data platform evolution, including modern cloud and hybrid technologies.
• Define and implement data governance practices, including ownership, quality validation, and issue resolution.
• Partner with business units to establish system‑of‑record definitions and trusted data sources.
• Improve data pipelines and integration capabilities with technical teams.
• Identify opportunities to consolidate reporting tools and enhance self‑service analytics capabilities.
• Develop and execute data quality strategies, monitoring processes, and continuous improvement initiatives.
• Define standards for secure data access, privacy, retention, and compliance.
• Collaborate with IT security to align data practices with cybersecurity and regulatory requirements.
• Communicate data strategies, roadmaps, and priorities to leadership and stakeholders.
• Provide technical guidance and mentorship to analysts and team members.
• Support ongoing enhancements to enterprise reporting and analytics capabilities.

We’re looking for a forward‑thinking data leader with strong technical expertise, a systems mindset, and the ability to translate business needs into scalable data solutions while driving enterprise alignment and adoption.

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or related field.
• 7–10 years of progressive experience in data architecture, data engineering, business intelligence, or enterprise analytics.
• Experience designing enterprise data models, integration solutions, and reporting architectures.
• Experience working with ERP, CRM, and operational/financial systems (manufacturing or industrial environment preferred).
• Experience implementing data governance, data quality, and master data management practices preferred.
• Experience supporting enterprise analytics and self‑service reporting environments.
• Experience evaluating or implementing cloud or hybrid data platforms preferred.
• Strong understanding of data architecture principles, modeling, and integration methodologies.
• Knowledge of data governance, quality, metadata management, and lifecycle practices.
• Ability to translate complex business requirements into practical data solutions.
• Strong analytical, problem‑solving, and organizational skills.
• Ability to manage multiple initiatives and priorities effectively.
• Excellent communication skills across technical and non‑technical audiences.
• Familiarity with modern analytics tools, including…