Lead Data Engineer
Core
Design, develop, and deliver scalable data pipelines, models, and integrations for the PATH NC child welfare data ecosystem, ensuring stability, security, and data quality for frontline staff serving children and families.
Role type
Lead Data Engineer
Builds
Scalable data pipelines, models, and integrations connecting Salesforce, MuleSoft, Power BI, Synapse, and mainframe sources
Domain
Public sector / Child welfare / Data engineering
Deliverable
production ML models | product features
Required skills
Design enterprise-grade data pipelines, build scalable ETL/ELT pipelines, develop high-quality data models, implement automated data-quality monitoring, troubleshoot complex data issues, translate stakeholder needs into data solutions
Preferred skills
Lead design and delivery of enterprise-grade data pipelines and visualizations, optimize pipeline performance and reliability, reduce downstream data issues through validation and reconciliation
Technologies
Synapse, MuleSoft, SQL, Salesforce, Power BI, mainframe
Responsibilities
Troubleshoot and resolve data issues within established SLAs, guide the evolution of data flows across connected systems, evaluate and introduce new data technologies, modernize the data environment, ensure alignment with policy and reporting requirements
Seniority
Senior, hands-on IC with leadership responsibilities
