Senior Staff Software Engineer, Data Delivery

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. As a Senior Staff Software Engineer on Data Delivery, you will help shape the long-term technical strategy for Data Delivery and the broader Stats & Analytics domain, working across teams to ensure reliable and scalable data systems are in place.

Responsibilities:

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

Requirements:

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