Senior Backend Software Engineer (Marketing & Privacy Engineering)

Affirm, Inc.; Ottawa; Remote; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first compensation structure

Health benefits

Parental leave

Away days

Learning & Development

Job summary

Affirm, Inc. is seeking a Senior Software Engineer to build data and measurement foundations that connect consumer acquisition activity to outcomes like signup, conversion, and GMV.

You’ll work at the intersection of data engineering and marketing technology, delivering reliable pipelines and identity/event systems. You will collaborate with Engineering, Product, Marketing, Analytics, and Data Engineering to integrate consent, tagging, identity, and consumer data requirements into measurement

Qualifications

• 4+ years of experience designing, developing and launching backend systems at scale.
• Experience building production data pipelines and analytical models using Snowflake, dbt, and Airflow, including identity/attribution/conversion.
• Strong communication skills for collaborating with a global engineering team.
• Hands-on experience building marketing data and measurement systems (GTM/GA4, APIs, CDP, consent platforms).
• Track record of developing highly available distributed systems (AWS, MySQL, Kubernetes).

Responsibilities

• Define and deliver quarterly goals for your team.
• Lead engineers through ambiguity to solve open-ended problems.
• Collaborate with product, design, analytics and marketing on technical constraints and risk.
• Identify project, process, technology, or business issues and advocate for solutions.
• Monitor and improve team artifacts, metrics, and on-call reliability.
• Raise the bar on code quality and design standards across the team.

Skills

Backend design

Data pipelines

Cross-functional collaboration

Ownership & accountability

Marketing data & measurement

Tools

Snowflake

dbt

Airflow

GTM/sGTM

GA4

CDP

Conversion APIs

AWS

MySQL

Kubernetes

Job description

• As a Senior Software Engineer, you will build the data and measurement foundations that connect consumer acquisition activity across paid media, SEO/AEO, and other growth channels to downstream outcomes such as signup, conversion, and GMV
• You will work at the intersection of data engineering and marketing technology, building reliable pipelines, identity and event data systems, attribution and conversion measurement, and integrations across our marketing and data ecosystems
• You will partner closely with Engineering, Product, Marketing, Analytics, and Data Engineering so that consent, tagging, identity, and consumer-data requirements are incorporated into measurement architecture from the start
• This role is a strong fit for an engineer who enjoys ambiguous cross-functional problems, cares deeply about data quality and operational reliability, and wants to build durable measurement capabilities that help teams understand the effectiveness of consumer growth investments
• You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery
• You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs
• You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them
• You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts
• You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks
• You will help develop talent on your team by providing feedback and guidance, and leading by example

Benefits

• Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
• Supportive Communities: Get involved with our employee resource groups and community groups
• Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
• Generous Time Off: Take the time you need when life happens
• Health Benefits: Get a plan that fits your needs
• Mental Healthcare: Take care of your mind with great mental health programs
• Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
• Learning & Development: Engage in exciting learning programs to level up your growth

• You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design.
• You write high quality code that is easily understood and used by othersYou have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
• You have experience building production data pipelines and analytical models using technologies such as Snowflake, dbt, and Airflow, including event-level data, identity resolution, attribution, or conversion measurement
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team
• You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely
• Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders
• You have hands‑on experience building marketing data and measurement systems using technologies such as Google Tag Manager (GTM/sGTM), GA4, advertising and conversion APIs, customer data platforms (CDPs), attribution or mobile measurement platforms, and consent management platforms
• You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes