Lead Data Engineer - 173475 - 177449

Ecosystems, Resource Management, Business Strategy, Leadership, DevOps, Best Practices, Microsoft Windows Azure, Computer Science, Cloud Architecture, Python Programming/Scripting Language, Responsibilities: for the Lead Data Engineer include: Defining enterprise-level data architecture and infrastructure strategies Designing advanced data warehouses, data lakes, and hybrid cloud architectures Driving adoption of automation, DevOps, and CI/CD best practices for data platforms Partnering with executive leadership to align data infrastructure with business strategy Guiding cloud resource planning, cost optimization, and capacity management Required Qualifications for the Lead Data Engineer include: 7+ years of experience in data engineering, cloud data ecosystems, and infrastructure strategy Expertise with cloud-based data tools such as Azure Fabric, Data Factory, Synapse, or similar Proficiency in Python, SQL, ETL development, and data integration architecture Strong understanding of Azure security controls, resource management, and governance frameworks Bachelor’s Degree in Business, Computer Science, Finance, Information Systems, or related field Qualifications: for the Lead Data Engineer include: 7+ years of experience in data engineering, cloud data ecosystems, and infrastructure strategy Expertise with cloud-based data tools such as Azure Fabric, Data Factory, Synapse, or similar Proficiency in Python, SQL, ETL development, and data integration architecture Strong understanding of Azure security controls, resource management, and governance frameworks Bachelor’s Degree in Business, Computer Science, Finance, Information Systems, or related field