Senior Staff Software Engineer, Data Delivery

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.

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.

You will help Data Delivery and the broader Stats & Analytics domain build trusted, scalable, and efficient data systems that enable faster product development and better customer outcomes.

In practice, this means:

Data Delivery has a clear long-term technical direction that supports StackAdapt’s product and platform growth.

Teams can launch new reporting, measurement, forecasting, billing, export, and analytics capabilities faster and with greater confidence.

Core data systems are more reliable, scalable, cost-efficient, and easier to evolve.

Product and engineering teams have a stronger understanding of how Stats & Analytics systems fit together.

Technical trade-offs are clearly understood, documented, and aligned across teams.

Engineers around you grow through your mentorship, strategic guidance, and example.

Data Delivery helps StackAdapt scale new advertising and marketing opportunities by giving customers a trusted view of performance across channels and the customer journey.

The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask c andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.

Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Highly competitive salary

Retirement/ 401K/ Pension Savings globally

Competitive Paid time off packages including birthday's off!

Access to a comprehensive mental health care program

Health benefits from day one of employment

Work from home reimbursements

Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto

Robust training and onboarding program

Coverage and support of personal development initiatives (conferences, courses, books etc)

Access to StackAdapt programmatic courses and certifications to support continuous learning

An awesome parental leave program

A friendly, welcoming, and supportive culture

Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.