NCDIT - Cloud Engineer- Mid Level

Connvertex Technologies•Raleigh, NC

About The Position

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, re‑engineering legacy feeds such as SFTP, Azure Blob, and batch pathways into scalable, automated, cloud‑native 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 cloud‑based data warehouse capabilities, including medallion structures (Bronze, Silver, Gold), to enable governed, analytics‑ready 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 AI‑assisted 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 decision‑making, operational efficiency, and better outcomes for citizens across North Carolina.

Requirements

Mid-level Cloud Engineer experience.
Experience with enterprise data integration.
Experience designing, implementing, and modernizing enterprise landing zones, cloud ingestion patterns, and secure data pipelines.
Experience re-engineering legacy feeds (SFTP, Azure Blob, batch pathways) into scalable, automated, cloud-native services.
Knowledge of state security policies and compliance requirements.
Experience collaborating with architects, security teams, vendors, and agency partners.
Experience ensuring reliable, secure, standardized pipelines from ingestion through transformation and delivery.
Experience driving operational support across the full lifecycle.
Experience building and maintaining cloud-based data warehouse capabilities, including medallion structures (Bronze, Silver, Gold).
Experience defining storage and partitioning conventions for performance and traceability.
Experience promoting governance alignment and privacy controls across frameworks such as HIPAA, CJIS, and NIST.
Subject matter expertise in ETL, metadata, lineage, and modeling.
Experience evaluating emerging tools and AI-assisted development.

Responsibilities

Serve as the technical and strategic lead for enterprise data integration across statewide programs and agencies.
Design, implement, and modernize the enterprise landing zone, cloud ingestion patterns, and secure data pipelines.
Re-engineer legacy feeds (SFTP, Azure Blob, batch pathways) into scalable, automated, cloud-native services.
Ensure alignment with state security policies and compliance requirements.
Collaborate with architects, security teams, vendors, and agency partners to ensure reliable, secure, standardized pipelines.
Drive operational support across the full lifecycle of data integration.
Build and maintain cloud-based data warehouse capabilities, including medallion structures (Bronze, Silver, Gold).
Define storage and partitioning conventions for performance and traceability.
Promote governance alignment and privacy controls across frameworks such as HIPAA, CJIS, and NIST.
Serve as the division's ETL subject matter expert on metadata, lineage, and modeling.
Evaluate emerging tools and AI-assisted development to improve reliability, efficiency, and readiness for future capabilities.