Staff Engineer - Data

Wingstop•Dallas, TX

1d•Onsite

About The Position

The Staff Engineer – Data is responsible for the architecture, integrity, and scalability of the data ecosystem that powers a high-volume, consumer-facing digital platform supporting billions in annual transaction volume. This role owns the design and operation of data systems spanning transactional databases, real-time data streams, and analytical platforms. This engineer leads the evolution of a cloud-native data architecture on AWS, including relational data stores (Aurora PostgreSQL), in-memory systems (Redis), streaming/event-driven pipelines, and downstream analytics platforms such as Snowflake and behavioral/observability tools. The role ensures data consistency, availability, and performance across operational and analytical use cases. The Staff Engineer defines data standards, governance, and access patterns that enable reliable, real-time decision-making across engineering, product, and business teams. They are accountable for the reliability, observability, and performance of data systems in production, including incident response and long-term resilience. This role operates at high scale and complexity, requiring deep expertise in distributed data systems, high-throughput event processing, and the challenges of maintaining data integrity across multiple platforms. The Staff Engineer partners cross-functionally to align data architecture with business strategy and unlock actionable insights from across the ecosystem.

Requirements

Deep expertise in distributed data systems
High-throughput event processing
Maintaining data integrity across multiple platforms

Responsibilities

Own the architecture and evolution of the data platform across transactional, streaming, and analytical systems
Design and operate scalable data systems on AWS, including Aurora PostgreSQL, Redis, and event-driven pipelines
Build and optimize data flows between operational systems and analytics platforms (e.g., Snowflake, observability and product analytics tools)
Ensure data integrity, consistency, and availability across distributed systems
Design for high-throughput, low-latency data processing supporting real-time and near-real-time use cases
Establish data modeling standards, governance practices, and access patterns across the organization
Drive improvements in data observability, monitoring, and incident response
Partner with DevOps, product, and business teams to translate data needs into scalable technical solutions
Lead complex initiatives such as data correlation across systems, unified event models, and cross-platform insights
Identify and resolve bottlenecks, scaling challenges, and data quality issues
Mentor engineers and elevate data engineering practices across the organization

Benefits

Unlimited paid time off for exempt employees
One paid volunteer day of your choice
Competitive bonus structure for eligible roles
Team member stock purchase plan
Health savings or flexible spending account options
401k – (dollar for dollar on the first 3% and then 50 cents on the dollar for the next 2% for team member contributions up to 5% of eligible compensation)
Comprehensive medical, dental, and vision benefits
Basic life and AD&D insurance provided
Pet insurance
Education Assistance
Wellness reimbursement program
Paid maternity and paternity leave
Lunch provided every Tuesday and Thursday in office
Discount on Wingstop gift cards
Onsite game room