Senior Staff Software Engineer, Data Delivery

StackAdapt

Ottawa

On-site

CAD 110,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Highly competitive salary
401K/Pension Savings
Competitive Paid Time Off
Mental health care program
Work from home reimbursements
Global WeWork membership

Job summary

StackAdapt in Ottawa is looking for a Senior Staff Software Engineer to shape the technical direction for Data Delivery. You will lead initiatives that ensure robust systems for reporting and analytics while collaborating with various teams to optimize campaign performance.

The ideal candidate offers extensive experience in backend systems and technical leadership for scalable data services. The position includes competitive salary and comprehensive benefits to foster a supportive work environment.

Qualifications

  • Experience shaping technical direction across teams, domains, or large platform areas.
  • Deep experience building scalable services, distributed systems, or data-intensive applications.
  • Strong judgment across APIs and data pipelines.

Responsibilities

  • Shape the long‑term architecture and technical direction for Data Delivery.
  • Lead initiatives that span multiple teams and systems.
  • Make high‑impact technical decisions across APIs and data models.

Skills

Technical strategy
Cross‑team leadership
System design
Technical mentorship
Backend and data systems expertise

Tools

Golang
Kafka
TiDB
Redshift

Job description

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose StackAdapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer‑facing dashboards, reporting, billing, forecasting, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross‑channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer‑facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI‑powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI‑powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, forecasting, billing, API, export, and data‑serving systems that help customers trust the data, understand performance, and optimize campaigns.

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. You will work across teams to understand how the platform fits together, identify the right technical investments, and enable new product and feature development through scalable, reliable, and well‑designed data systems.

This role is ideal for someone who can operate across a broad technical surface area, connect product goals with platform architecture, and influence technical direction beyond a single team.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI‑powered advertising and marketing platform: How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing
  • 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.
What you’ll bring
  • 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.
What success looks like

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.
StackAdapter's Enjoy
  • 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.

About StackAdapt

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

We've been recognized for our diverse and supportive workplace, high performing campaigns, award‑winning customer service, and innovation. We've been awarded:

  • G2 Top Software for 2026
  • 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
  • #1 DSP on G2 and leader in a number of categories including Cross‑Channel Advertising

To learn more about our privacy practices, please see our Privacy Policy.

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