Role: NCDIT - Cloud Engineer- Mid Level
Location: 3700 Wake Forest Rd. Raleigh NC 27609
Duration: 12+ Months
Client: Vantageerp
End Client: State of NC NCDIT
Mode of Work: Hybrid
Description:
***This is a hybrid position where the candidate will be expected on site once a week.
This role serves as the technical and strategic lead for enterprise data integration across statewide programs and agencies. The Cloud Engineer designs, implements, and modernizes the enterprise landing zone, cloud ingestion patterns, and secure data pipelines, reengineering legacy feeds such as SFTP, Azure Blob, and batch pathways into scalable, automated, cloudnative services aligned with state security policies and compliance requirements. The position collaborates with architects, security teams, vendors, and agency partners to ensure reliable, secure, standardized pipelines from ingestion through transformation and delivery, and it drives operational support across the full lifecycle.
Beyond integration, the role builds and maintains cloudbased data warehouse capabilities, including medallion structures (Bronze, Silver, Gold), to enable governed, analyticsready transformations. It defines storage and partitioning conventions for performance and traceability, promotes governance alignment and privacy controls across frameworks such as HIPAA, CJIS, and NIST, and serves as the division’s ETL subject matter expert on metadata, lineage, and modeling. The engineer also advances innovation by evaluating emerging tools and AIassisted development to improve reliability, efficiency, and readiness for future capabilities.
The Enterprise Data Office (EDO), a division within the North Carolina Department of Information Technology (DIT), is responsible for delivering enterprise data and analytics capabilities that support statewide programs, agencies, and strategic initiatives. Through these capabilities, the EDO enables improved decisionmaking, operational efficiency, and better outcomes for citizens across North Carolina.
Skill Matrix:
Skill | Required / Desired | Amount | of Experience |
Cloud data engineering and integration, including modern lakehouse and medallion architectures | Required | 5 | Years |
ETL and pipeline development with robust orchestration, error handling, validation, and lineage | Required | 5 | Years |
Data quality, metadata management, and governance practices to ensure accuracy and compliance | Required | 3 | Years |
Security and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awareness | Required | 3 | Years |
Networking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS Viya | Required | 3 | Years |
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