Senior Data Architect -U.S. Remote Job Greensboro North Carolina USA,IT/Tech

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 One Lake
. 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

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
, One Lake
, Power BI, and supporting Azure services.
Ensure architectural consistency, system interoperability, and appropriate data lifecycle controls across applications, platforms, and business functions.

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.

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.

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.

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
, One Lake
, 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…


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