Bachelor's degree in Computer Science, IT, Software Engineering, or related field preferred.
Experience designing and implementing cloud-based data architectures.
Proficient in Microsoft Azure services and data platform development.
Familiarity with Azure Synapse Analytics, Data Factory, Azure SQL, Databricks, and Azure DevOps.
Knowledge of relational databases, particularly Microsoft SQL Server.
Experience with data integration methods including APIs, batch processing, and streaming data.
Understanding of data warehouse architecture and cloud security practices.
Responsibilities
Define and lead the cloud data architecture and technology strategy for ADAW.
Design and oversee a scalable, secure, and high-performing cloud-based data warehouse.
Establish standards for data ingestion, transformation, and storage.
Lead integration of data from various sources including APIs and batch feeds.
Implement API management and secure data transfer standards.
Establish security architecture including IAM and role-based access controls.
Provide technical leadership and guidance to the data engineering team.
Benefits
Medical, Dental, and Vision coverage
Short Term Disability, AD&D, and Life insurance
401(k) Program
Paid Time Off
11 Paid Holidays
Employee Assistance Program
Full Job Description
ITnova is seeking a Cloud Architecture Team Lead to support the Port Authority of New York and New Jersey (PANYNJ) Aviation Department's Aviation Data Analytics Warehouse (ADAW). The ideal candidate will have strong experience designing and leading cloud-based data architectures using Microsoft Azure, including Synapse Analytics, Data Factory, Azure SQL, and Databricks. This role will lead platform architecture and strategy, oversee data integration solutions, establish security and access controls, and ensure the platform remains scalable, secure, and reliable. Experience with enterprise data warehouses, data governance, and technical team leadership is highly desirable.
Responsibilities
Define and lead the cloud data architecture and technology strategy for the Aviation Data Analytics Warehouse (ADAW).
Design and oversee a scalable, secure, resilient, and high-performing cloud-based data warehouse platform.
Establish standards for data ingestion, transformation, storage, lakehouse architecture, and data retention.
Lead the integration of data from APIs, batch feeds, streaming sources, and SFTP file transfers.
Establish API management and secure data transfer standards and best practices.
Implement security architecture, including identity and access management (IAM), role-based access controls, and key management.
Provide technical leadership and guidance to the data engineering team.
Ensure the platform architecture supports evolving data integration, analytics, and business intelligence requirements.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field preferred.
Demonstrated experience designing and implementing cloud-based data architectures.
Experience with Microsoft Azure cloud services and data platform development.
Experience with Microsoft Azure Synapse Analytics, Azure Data Factory, Azure SQL, Databricks, and Azure DevOps.
Experience with relational databases, including Microsoft SQL Server.
Experience with data integration methods, including APIs, batch processing, streaming data, and SFTP file transfers.
Knowledge of data warehouse architecture, data ingestion, transformation, storage, and lakehouse design.
Experience implementing cloud security, identity and access management, and role-based access controls.
Ability to lead technical initiatives and establish architecture standards and best practices.
Preferred Experience
Experience architecting enterprise-scale cloud data warehouses or lakehouse platforms.
Experience supporting business intelligence and analytics environments using Microsoft Power BI.
Experience with cloud data governance, data retention, and security compliance practices.
Experience leading technical teams in an Agile development environment.
Experience supporting complex data integrations across multiple business units or enterprise systems.
