Lead Cloud Engineer for Data Integration
Posted
Summary
IntelliBee is hiring a Lead Cloud Engineer to design cloud-native data integration solutions, re-engineer legacy data feeds into secure automated pipelines, and build medallion-architecture data warehouses embedded in the North Carolina Department of Information Technology's Enterprise Data Office. Core tech: cloud platforms (Azure), ETL/pipeline orchestration, and data governance.
Excel as a Cloud Engineer with IntelliBee, focusing on data integration and modern cloud architectures that support state programs in North Carolina. Contribute to secure and compliant data pipelines.
As part of the Enterprise Data Office within the North Carolina Department of Information Technology, this role emphasizes leading enterprise cloud initiatives. You'll design robust, secure data processing solutions while ensuring compliance with established frameworks. Your expertise in ETL development and data governance will influence data-driven decision-making across the state.
Key Responsibilities: • Lead the design of cloud-native data integration solutions • Re-engineer legacy data feeds into automated, secure pipelines • Develop cloud data warehouse capabilities using medallion structures • Ensure alignment with security and governance standards • Collaborate with teams for full lifecycle data support
Requirements: • 5 years in cloud data engineering and integration • 5 years in ETL and pipeline orchestration • 3 years in data quality and metadata management • 3 years in security and privacy frameworks • 3 years in cloud fundamentals, including identities in Azure
Influence enterprise data strategies with your skills as a Cloud Engineer at IntelliBee.
As part of the Enterprise Data Office within the North Carolina Department of Information Technology, this role emphasizes leading enterprise cloud initiatives. You'll design robust, secure data processing solutions while ensuring compliance with established frameworks. Your expertise in ETL development and data governance will influence data-driven decision-making across the state.
Key Responsibilities: • Lead the design of cloud-native data integration solutions • Re-engineer legacy data feeds into automated, secure pipelines • Develop cloud data warehouse capabilities using medallion structures • Ensure alignment with security and governance standards • Collaborate with teams for full lifecycle data support
Requirements: • 5 years in cloud data engineering and integration • 5 years in ETL and pipeline orchestration • 3 years in data quality and metadata management • 3 years in security and privacy frameworks • 3 years in cloud fundamentals, including identities in Azure
Influence enterprise data strategies with your skills as a Cloud Engineer at IntelliBee.