Cloud Engineer- Mid Level

Posted Yesterday
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Raleigh, NC, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Professional Services • Consulting
The Role
Leads enterprise cloud data integration across statewide programs, designing landing zones, ingestion patterns, secure pipelines, and cloud-native services. Builds governed data warehouses using Bronze, Silver, and Gold medallion layers; establishes storage, partitioning, metadata, lineage, and modeling standards. Ensures data quality, privacy, and compliance with HIPAA, CJIS, and NIST. Collaborates with architects, security teams, vendors, and agencies while evaluating emerging tools and AI-assisted development.
Summary Generated by Built In

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
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



Skills Required

  • 5 years of experience in cloud data engineering and integration, including modern lakehouse and medallion architectures
  • 5 years of experience developing ETL pipelines with orchestration, error handling, validation, and lineage
  • 3 years of experience with data quality, metadata management, and data governance practices
  • 3 years of experience aligning security and privacy practices with HIPAA, CJIS, and NIST, plus DevSecOps awareness
  • 3 years of experience with networking, cloud platforms, identity and access management, and distributed compute and storage in Azure, AWS, or SAS Viya
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The Company
HQ: Duluth, GA
Year Founded: 2003

What We Do

Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.

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