Senior Staff Software Engineer - Data Delivery

What you'll do

• Shape the long-term architecture and technical direction for Data Delivery and related Stats & Analytics systems
• Lead initiatives that span multiple teams, systems, and product areas
• Build and guide systems for launching new reporting, measurement, forecasting, billing, export, and analytics capabilities
• Make high-impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns
• Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps
• Identify systemic gaps in reliability, scalability, data quality, developer experience, and operational ownership and drive improvements
• Clarify trade-offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long-term platform leverage
• Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance

Requirements

• Experience shaping technical direction across teams, domains, or large platform areas
• Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications
• Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture
• Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy
• Ability to design systems that create leverage for multiple teams and make future product development easier
• Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust
• Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value
• Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences
• Experience developing senior engineers and raising engineering standards across a team or domain
• Strong programming skills
• Experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus
• Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus

Tech stack

Benefits