Staff Software Engineer, Data Delivery

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. As a Staff Software Engineer I on Data Delivery, you will lead complex technical initiatives across backend systems, focusing on measurement and planning, while ensuring reliable customer-facing insights and optimizing campaigns.

Responsibilities:

• Domain ownership: Act as a project and domain DRI for measurement and planning initiatives within Data Delivery
• Technical planning: Translate product requirements into technical requirements, clarify feasibility and trade-offs, shape milestones, and identify risks early
• Execution leadership: Keep complex initiatives moving by unblocking decisions, coordinating across teams, and giving engineering leadership clear options and recommendations
• Scalable data systems: Build reliable systems that process, organize, and serve large volumes of campaign and marketing data across StackAdapt
• Customer-facing impact: Power reporting, measurement, planning, billing, pacing, exports, APIs, and analytics that customers and internal teams depend on
• System design: Make thoughtful technical decisions that balance correctness, reliability, latency, freshness, cost, and long-term maintainability
• Cross-functional partnership: Work closely with product, engineering, data science, analytics, and business teams to turn product goals into strong technical solutions
• Operational excellence: Improve monitoring, testing, data quality, incident response, and documentation so our systems are easier to trust and operate
• Technical mentorship: Support engineers through design reviews, code reviews, technical guidance, and clear communication of trade-offs

Requirements:

• Strong experience building scalable services, distributed systems, data platforms, or data-intensive applications
• Experience leading complex technical projects with ambiguous requirements, multiple stakeholders, and meaningful trade-offs
• Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and operational ownership
• Ability to reason about correctness, freshness, completeness, consistency, cost efficiency, and customer trust
• Interest in building systems that support customer-facing reporting, measurement, planning, optimization, and analytics
• Ability to explain decisions clearly, align stakeholders, and document important trade-offs
• Experience helping other engineers grow and raising the technical bar of a team
• 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, planning, or high-volume event processing is a plus