The ideal candidate for this role will be responsible for designing and implementing scalable and efficient data solutions using modern data architectures. This includes developing and managing robust ETL/ELT processes and data pipelines to handle a variety of data sources and transformations. A core part of this role is to ensure the quality, integrity, and security of data across all platforms. The candidate will also support hybrid cloud deployments, seamlessly integrating both on-premises and cloud-based environments both on Azure and AWS.

In this position, the individual will collaborate closely with stakeholders to understand business requirements and provide effective technical solutions. They will also be responsible for optimizing data workflows and troubleshooting performance issues. All work must adhere to engineering best practices, including version control and modular code design, to ensure a well-documented and maintainable codebase.