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Data Architect

Job in Lynchburg, Campbell County, Virginia, 24513, USA
Listing for: Delta Star Inc.
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

This is an exciting time to be joining Delta Star!

We are Delta Star! The largest, American-owned medium power transformer manufacturer in the United States and the premier manufacturer of mobile transformers and mobile power substations in North America.

We are an industry-leader that has harnessed the power of electricity to reliably connect you to an essential part of modern-day life. Giving you the peace of mind you deserve to go out and make the world a better place!

Summary

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. If you enjoy building data ecosystems, reducing complexity, and driving modern data capabilities, we want to hear from you!

What

You’ll Do

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 work will directly support continuous improvement, automation, and self‑service analytics across the organization.

A

Day in the Life

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. From improving data quality to mentoring analysts and aligning with IT security, you’ll balance strategic planning with hands‑on execution to drive enterprise‑wide data maturity.

Specific Duties
  • 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.
What We’re Looking For

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.

Position Requirements
  • 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…
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