E4E Relief · 15 hours ago
Lead Data Engineer
Charlotte,NC,US
Full-time
Hybrid
Senior Level, Lead/Staff
6+ years expE4E Relief is seeking a Lead Data Engineer who will be responsible for the design, development, and governance of data platforms. This hands-on role involves collaborating with analytics, product, and engineering teams to deliver scalable data solutions and ensure data-driven decision making across the organization.
Non-profit Organization Management
Responsibilities
Data architecture and governance
Design and maintain scalable data models on Microsoft SQL Server and Azure data services, ensuring data quality, lineage, security, and compliance
Define and implement data governance standards, metadata management, and data retention policies
Champion data quality initiatives, profiling, and automated validation across the data pipeline
Build, optimize, and maintain ETL pipelines, preferably using SQL Server SSIS
Lead migration and modernization efforts from on-premises SQL Server to cloud-native architectures, including data lake patterns where appropriate
Implement scalable data ingestion from multiple sources, ensuring low-latency, reliable data delivery to analytics consumers
Architect and govern data models, datasets, security, and performance optimizations; partner with analysts to deliver self-serve analytics capabilities, preferably leveraging Power BI
Create reusable data services and dashboards that enable senior leadership to monitor KPIs and metrics with accuracy and speed
Own Azure environment design, cost optimization, security controls (RBAC, data encryption, threat detection), and disaster recovery planning as it relates to the data domain
Establish CI/CD pipelines for data assets and analytics artifacts; promote best practices for versioning, testing, and deployment
Mentor data engineers, establish coding standards, code reviews, and best-practice documentation
Collaborate with product managers and business stakeholders to translate requirements into scalable data solutions
Manage project timelines, risk, and stakeholder communication, balance delivery speed with data quality and reliability
Work with the data or engineering teams to perform root cause analysis of field reported defects
Report defects in defect tracking system by providing detailed documentation as proof of test failures for repeatability
Compare testing metrics to exit criteria to provide QA advice on product release
Performs other related duties as assigned
Qualification
Required
6+ years of experience in data engineering or a closely related role, with a track record delivering enterprise-grade data platforms
Deep expertise in Microsoft SQL Server (design, tuning, indexing, query optimization) and Azure data services (Azure SQL, Data Factory, Synapse, Data Lake, storage, identity and security features)
Strong Power BI proficiency (data modeling, DAX, performance optimization, security roles, and report deployment)
Experience migrating or modernizing data architectures to cloud environments; ability to design scalable, robust, and cost-conscious solutions
Proven ability to lead technical teams, mentor engineers, and drive cross-functional collaboration
Knowledge of data governance, data quality frameworks, and data security/compliance considerations
Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders
Company
E4E Relief
E4E Relief is a philanthropy company.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Holly Welch Stubbing
President & Chief Executive Officer
Maria Aldrich
Vice President, Sales & Partnership Development
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