Responsibilities include but are not limited to: Design and development of ETL pipelines, data models, queries, scripts and maintenance procedures. Identify opportunities to optimize performance from "end to end" perspective. Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver enterprise data solutions. Collaborate with foundational solution functional teams, vendors, and technology support teams to build and deliver solutions on business initiatives. Delivery solutions through a minimum viable product (MVP) and subsequent iterative cycles of development. Prepare and maintain design and architectural documents for management and development teams. Design and develop Cloud-based infrastructure both real-time and batch ETL processes. Build multi-dimensional databases and data marts. Participate in the development of data management policies, standards, and procedures. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Interface across several business areas, proactively assisting in defining project direction with business stakeholders. Communicate complex technical information to project stakeholders, including those without a technical background to capture non-functional requirements.