foley - Staff Data Engineer
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Requirements
• Strong experience building and maintaining production ETL/ELT pipelines • Experience working across both batch and streaming / CDC / event-driven data environments • Proven ability to design scalable warehouse schemas and data models in a layered architecture • Deep knowledge of database architecture and distributed data systems • Experience with cross-system entity resolution and complex data modeling • Experience implementing data governance standards, including RBAC • Strong software engineering fundamentals, including reliability, backend systems, and data processing • Ability to operate at a Staff level, setting direction and influencing across teams • Strong experience with Python, SQL, and AWS data tooling including Redshift, Glue, Lambda, S3 and Data Orchestration (e.g. Airflow). • Experience supporting ML or LLM-related pipelines in production • Familiarity with multi-step agent orchestration frameworks such as LangGraph • Experience partnering with Data Science teams to operationalize data products • Experience helping organizations introduce AI-enabled workflows in a thoughtful, production-oriented way
Responsibilities
• DATA ARCHITECTURE AND STRATEGY • Lead the design and evolution of Foley’s enterprise data architecture • Contribute to the ongoing development of our Enterprise Data Model • Define standards and best practices for data modeling, storage, access, and reliability • Drive architectural decisions that balance scalability, maintainability, and performance • PIPELINE DEVELOPMENT AND EXECUTION • Design, build, and maintain scalable data pipelines across internal systems, vendor platforms, and the data warehouse • Improve data quality, observability, and reliability across core workflows • Optimize data workflows for efficiency and long-term operational health • Support both batch and event-driven or CDC-based pipeline patterns • DATA MODELING AND GOVERNANCE • Own schema design and warehouse modeling strategy, including dimensional and normalized approaches where appropriate • Help define and implement data governance best practices, including RBAC • Ensure shared definitions, documentation, and trust in core business data • CROSS-FUNCTIONAL TECHNICAL LEADERSHIP • Serve as a thought partner to Engineering, Product, Analytics, and business teams • Translate technical complexity into clear recommendations and tradeoffs • Raise the bar for data engineering practices across the organization • Help the company make better decisions through strong, accessible data foundations • INNOVATION AND CONTINUOUS IMPROVEMENT • Identify opportunities to improve workflows through automation, tooling, and thoughtful use of AI • Experiment pragmatically with new technologies and scale what works • Build systems and guardrails that enable teams to move faster without sacrificing quality • Think in systems and tradeoffs, not just tools • Enjoy solving ambiguous data problems and turning them into scalable solutions • Can communicate clearly with both technical and non-technical stakeholders • Take ownership and raise the bar for those around you • Are curious about using AI and automation to improve how work gets done, while maintaining strong technical standards • Location: This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel for team collaboration and company events.
Benefits
• Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. • Equal Employment Opportunity
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