The Clayton Data Engineering team is responsible for data movement into the Enterprise Data Warehouse, Operational Data Stores, and between operational systems on-prem and on the public cloud such as AWS. The Data Engineer IV will be responsible for the development of advanced data infrastructure solutions that present information for decision making, sourcing data from a variety of sources within and outside of the Clayton organization. The Data Engineer IV will collaborate with and learn from motivated team members with various backgrounds and areas of expertise.
The Data Engineer IV is a senior technical leader responsible for architecting and implementing scalable, secure, and high-performance data solutions across cloud and hybrid environments. This role emphasizes Azure Data Fabric, or similar cloud platforms like AWS, Databricks, etc. to enable unified data access, governance, and analytics across the enterprise. In addition to technical leadership, the Data Engineer IV plays a pivotal role in mentoring and developing the data engineering team. This includes guiding engineers through architectural decisions, conducting hands-on training sessions, leading code reviews, and fostering a collaborative learning environment. The role is expected to champion best practices, support career growth, and ensure the team remains aligned with evolving data strategies and technologies.
The Clayton Data Engineering team works in an agile/scrum environment from a backlog of work requests generated by multiple Clayton business units and analytics teams. The team designs, develops, and implements database architecture and data pipeline processes for migration/transformation of data into the data warehouse for reporting and analytical use. The team monitors these processes, troubleshoots, and improves load performance.