Senior Data Architect - Greensboro - NWS

Description

Overview

Senior Data Architect - U.S. Remote. The Data Architect serves as both a strategic leader and a hands-on technical expert responsible for designing, implementing, and maturing the organization's enterprise data architecture. This role oversees the development of data standards, governance policies, and end-to-end data management practices while leading the design and deployment of a scalable Data Warehouse environment leveraging Microsoft Fabric and OneLake. The Data Architect will partner closely with business, IT, cybersecurity, and analytics teams to ensure that data assets are trusted, governed, and optimized to support operational reporting, advanced analytics, and executive decision-making.

Responsibilities

1. Enterprise Data Architecture & Strategy
   • Develop the enterprise data architecture roadmap aligned with organizational strategy, operational requirements, and modernization initiatives.
   • Define data models, integration patterns, master data management approaches, and metadata strategies.
   • Architect scalable, secure, and high-performance data environments using Microsoft Fabric, OneLake, Power BI, and supporting Azure services.
   • Ensure architectural consistency, system interoperability, and appropriate data lifecycle controls across applications, platforms, and business functions.
2. Data Warehouse Architecture & Implementation
   • Lead the design, development, and deployment of a modern Data Warehouse and associated semantic models within Microsoft Fabric.
   • Implement ingestion pipelines, ETL/ELT frameworks, orchestration logic, and data quality validation processes.
   • Establish and enforce dimensional modeling, star schema design, normalization standards, and performance optimization techniques.
   • Partner with BI teams to enable robust reporting, dashboards, and analytics, ensuring alignment to business requirements.
3. Data Governance & Policy Development
   • Develop and maintain enterprise Data Governance frameworks, policies, standards, and stewardship models.
   • Define data classification schemes, retention rules, lineage tracking, and data quality standards.
   • Collaborate with cybersecurity and compliance teams to ensure adherence to SOC 2, CCPA, GDPR, and organizational privacy/security requirements.
   • Lead data governance committees and drive accountability for data stewardship at the departmental level.
4. Data Integration, Quality, and Management
   • Architect and oversee integration between ERP, CRM, Webstore, logistics, finance, and operational systems.
   • Implement data quality measurement, monitoring, and remediation frameworks.
   • Ensure data definitions, business rules, and transformation logic are standardized and documented.
   • Support creation of enterprise glossaries and metadata repositories.
5. Stakeholder Engagement & Leadership
   • Engage executives, directors, and operational leaders to capture requirements, validate architecture decisions, and communicate impacts.
   • Translate strategic objectives into actionable data initiatives and implementation plans.
   • Provide mentorship to data engineers, analysts, and technical staff; establish best practices and reusable patterns.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• 6-12+ years of experience in data architecture, data engineering, or enterprise architecture.
• Demonstrated hands-on experience with Microsoft Fabric, OneLake, Power BI data modeling, and Fabric pipelines.
• Strong background in data modeling (conceptual, logical, physical), Data Warehouse design, and ETL/ELT development.
• Experience developing enterprise Data Governance policies, data standards, and stewardship models.
• Expertise in Azure data services (Data Factory, Synapse, Data Lake Storage, SQL, Purview preferred).
• Deep understanding of data security, privacy, access controls, and compliance frameworks.
• Proven ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications

• Experience in distribution, supply chain, retail, telecommunications, or high-volume transactional environments.
• Familiarity with SOC 2, ISO 27001, and NIST-aligned data controls.
• Experience implementing semantic lakes, data products, or federated data architectures.
• Prior experience in enterprise transformation initiatives (ERP modernization, CRM standardization, eCommerce modernization).

Key Performance Indicators (KPIs)

The Data Architect will be evaluated based on measurable performance outcomes, including:

1. Architecture & Implementation
   • Data Warehouse Availability & Performance ≥ 99% operational uptime; query performance improvement baseline over legacy systems.
   • Data Pipeline Reliability ≥ 95% successful pipeline executions with automated monitoring and alerting.
   • Reduction in Data Redundancy Documented consolidation of duplicated datasets by ≥ 30% within first year.
2. Data Governance
   • Policy Adoption & Compliance Rate ≥ 80% adherence to new data governance policies within first operational cycle.
   • Metadata & Lineage Coverage ≥ 90% of critical datasets documented with lineage, definitions, and business rules.
   • Data Quality Metrics Achieve ≥ 20% reduction in data quality defects across critical systems.
3. Business Enablement
   • Time to Insight Improvement Reduce reporting cycle time and manual data preparation by ≥ 25%.
   • Stakeholder Satisfaction Achieve ≥ 85% satisfaction rating from business units using delivered data capabilities.
   • Delivery of Roadmap Milestones 100% on-time delivery of committed milestones in Data Architecture Roadmap.

About NWS & Hiring Details

NWS empowers service providers, integrators, contractors, and organizations of all sizes to stay ahead of the curve. Established in 2012 and headquartered in Greensboro, North Carolina, USA, NWS offers a range of services across three market segments. Our cable solutions showcase cutting-edge copper, fiber, and hybrid designs. With a team of engineers, manufacturing, and supply chain experts, we tailor solutions to precise specifications. Join our team of professionals and be part of the excitement at NWS. Our employees value initiative, teamwork, high values, and integrity. To learn more, please visit

Network Wireless Solutions (NWS) is committed to maintaining a safe, compliant, and professional workplace. As part of our hiring process, all offers of employment are contingent upon the successful completion of a background check and drug screening, where permitted by law. Background checks may include verification of employment history, education, criminal records, and other factors in accordance with applicable laws. Drug screening may be required based on the position and regulations. NWS complies with all relevant laws regarding drug testing, including any accommodations under the ADA. A candidate's failure to pass background checks or drug screening may result in withdrawal of an offer. By submitting an application to NWS, candidates acknowledge and consent to background check and drug screening policies.