Data Architect
Listed on 2025-12-22
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IT/Tech
Data Engineer
At Feed the Children, we recognize the value of outstanding people, and we are looking for compassionate changemakers to join our team. We pride ourselves on cultivating a collaborative workplace where employees experience productive and rewarding employment and feel engaged in our mission to end childhood hunger. Our passionate team shares a deep sense of purpose, and we dream big to solve complex problems and create positive impact in communities around the world.
Feed the Children is recognized by Candid with its Platinum Seal of Transparency and is accredited by the BBB Wise Giving Alliance. The organization has received a 4-star rating from Charity Navigator and is consistently recognized on the Forbes Top 100 Charities list.
Data Architect is responsible for designing and managing Feed the Children’s modern cloud data infrastructure, with ownership of Microsoft Fabric and Azure, and enablement of Purview, Power Platform, Copilot, and Dynamics 365 integration. This role will lead the stand up and evolution of Feed the Children’s Fabric platform and serve as its primary Product Owner, ensuring it is scalable, governed, secure, and AI-ready.
The Data Architect will also collaborate closely with ERP and CRM teams, and coordinate with Data Governance leadership to align data architecture with Microsoft Purview and governance policies. The ideal candidate combines deep technical expertise with strategic thinking, strong collaboration, and leadership skills. This position will report directly to the Vice President of Business Intelligence.
Salary range: $115K-$120K (commensurate with experience)
Note: Although our corporate office is located in Oklahoma City, OK qualified candidates are being considered nationwide for this remote opportunity.
Job Requirements:Education
Bachelor's or Master’s degree in Information Technology, Computer Science, Data Science, Information Systems, or a related technical field, preferred.
Experience7+ years’ of related professional experience; 3+ years' experience in data architecture or enterprise data engineering; and 2+ years’ experience working with Azure data services (e.g., Data Factory, Synapse, Data Lake).
Deep understanding of:
Microsoft Fabric, Dynamics 365 (especially SCM and CS), Power Platform, Power BI, Dataverse, Purview, SQL, Python, Spark, DAX, ETL/ELT processes, data modeling, Copilot, and Git and CI/CD practices.
Familiarity with data retention, auditability, and regulatory compliance (e.g., GDPR, HIPAA, CCPA).
Experience with Agile/Scrum methodologies, and Product Ownership.
Any combination of education, training and experience which provides the required knowledge, skills and abilities to perform the essential functions of this job may be considered.
Bonus Qualifications- Experience working in a mission-driven enterprise, especially in global health and development, with complex supply chain, community impact, donation, and volunteering programs.
Credentials in relevant Microsoft technologies a plus.
Essential Functions:Data Strategy & Architecture
- Define and maintain the enterprise data architecture roadmap, aligning with business goals and future scalability.
- Design and implement robust architecture in Microsoft Fabric, including lake houses, warehouses, Notebooks, pipelines, and semantic models.
- Lead the development of data models, ETL/ELT processes and data lake/warehouse structures to support analytics and AI.
- Manage all Azure resources, and oversee digital transformation necessary between Azure and Fabric, and from server to cloud architecture.
- Lead the establishment and documentation of technology direction and standards for data platforms, involving all aspects of information access and retrieval, integration, middleware translators, utilities, tools, and languages for use by information technology groups.
- Establish and enforce data architecture standards, including modeling conventions, naming standards, and documentation practices.
- Continuously assess and optimize data architecture to improve quality, performance, scalability, cost management, and efficiency.
- Ensure seamless integration of data…
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