Lead Data Engineer
E4E Relief
Job Type
Full-time
- Foster high-performing and supportive team environment.
- 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.
- 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.
- Prolonged periods sitting at a desk and working on a computer.
- Client-facing interactions both virtual and in-person.
- Ability to travel to client engagement sessions/conferences.
- Must be able to lift to 10 pounds at times.
Office environment
- Hybrid schedule- Monday and Fridays are remote; we are in the office Tuesday- Thursday.
- Business casual office environment with computer workstation and standard office equipment
- Controlled indoor climate with standard office lighting and noise levels.
- Access to reliable internet connection for remote workdays
- We will consider candidates outside of Charlotte however you must be located in North Carolina, South Carolina, or Georgia.
- Travel is not required for this position.
Vacancy posted 22 hours ago
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