Manager of Data Engineering

We're looking for an experienced Manager, Data Engineering to lead a high-impact payments migration program focused on modernizing enterprise data architecture, cloud solutions, and AI-enabled capabilities. In this role, you'll drive the design and execution of scalable data solutions while partnering with cross-functional teams to ensure successful migration of critical payment data with minimal business disruption. What You'll Do • Lead the architecture and delivery of large-scale payments data migration initiatives. • Design scalable, cloud-native data solutions using Azure technologies. • Build and optimize enterprise data platforms supporting high-volume processing and analytics. • Develop and implement modern data architectures utilizing Azure Databricks, Azure Data Factory (ADF), and Data Lakes. • Partner with engineering, architecture, and business stakeholders to ensure data quality, governance, and successful project execution. • Support AI-enabled data modernization initiatives by incorporating intelligent capabilities into enterprise data platforms. • Drive best practices for data integration, scalability, security, and performance. What We're Looking For • Experience leading enterprise-scale data engineering or data migration programs. • Strong expertise designing and implementing cloud-based data solutions within the Microsoft Azure ecosystem. • Hands-on experience with: • Azure Databricks • Azure Data Factory (ADF) • Azure Data Lake • MongoDB or other NoSQL databases • Kafka • Proven success delivering large-scale data migration projects involving high-volume datasets. • Strong understanding of modern data architecture, integration patterns, and enterprise data platforms. • Experience building scalable, reliable data pipelines and cloud-native analytics solutions. • Exposure to AI-enabled platforms and modern data modernization initiatives is highly desirable. • Excellent communication and stakeholder management skills with the ability to collaborate across technical and business teams. Preferred Qualifications • Experience working in payments, financial services, or other highly regulated industries. • Knowledge of enterprise data governance and cloud architecture best practices. • Experience leading technical teams in Agile environments.