Staff Data Engineer

Foley is a modern SaaS company focused on safety-sensitive industries. They are seeking a Staff Data Engineer to design, build, and scale data systems, lead the development of data pipelines, and shape enterprise data architecture. Responsibilities: Lead the design and evolution of our enterprise data architecture, contributing to our Enterprise Data Model (EDM) initiative; Define standards and best practices for data modeling, storage, and access across systems; Drive architectural decisions that balance scalability, performance, and maintainability; Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse; Ensure high data quality, reliability, and observability across all pipelines; Optimize data workflows for performance and efficiency; Own data warehouse schema design (e.g., dimensional modeling, normalization strategies); Define and implement role-based access control (RBAC) and data governance best practices; Partner with stakeholders to ensure data definitions are clear, consistent, and trusted; Act as a technical expert and partner to Engineering, Product, Analytics, and Business teams; Influence decisions through strong communication, clear tradeoffs, and practical solutions; Raise the bar for data engineering practices across the organization; Identify opportunities to improve how we work through automation, tooling, and AI; Experiment thoughtfully with new approaches and scale what works; Continuously improve system design, development practices, and team effectiveness Qualifications: Deep expertise in database architecture and distributed data systems; Strong experience building and maintaining ETL/ELT pipelines in production environments; Proven ability to design scalable data warehouse schemas and data models; Experience implementing data governance practices, including RBAC; Strong software engineering fundamentals (backend systems, data processing, reliability); Ability to operate at a Staff level: driving technical direction and influencing across teams; Experience with Python, SQL, AWS, Redshift, Airflow Required Skills: Database Architecture, Distributed Data Systems, ETL/ELT Pipeline Development, Data Warehouse Schema Design, Data Modeling, Data Governance, Role-Based Access Control (RBAC), Software Engineering Fundamentals, Python, SQL, AWS, Redshift, Airflow