Staff Marketing Technology Engineer

Absorb•Calgary, AB

2d•Remote

About The Position

Absorb Software is seeking a Marketing Technology Engineer to manage and enhance the technology underpinning their data-driven and AI-driven marketing efforts. This role involves a dual responsibility: maintaining a robust data platform (BigQuery warehouse with dbt transformations) to ensure data quality and governance, and designing, building, and deploying applications and AI agents on Google Cloud to automate marketing and product tasks, providing self-serve capabilities to teams. The position emphasizes setting a high engineering standard, ensuring AI-assisted code meets professional requirements such as version control, code review, testing, secure deployment, and maintainability. This is a senior individual contributor role offering technical leadership and architectural direction without direct reports.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
5+ years of data engineering experience, with demonstrated breadth into software and/or AI application development.
Strong software-engineering fundamentals: Git-based workflows, code review, automated testing, and CI/CD.
Hands-on experience deploying applications on Google Cloud (e.g., Cloud Run, Cloud Functions, or GKE), containerization (Docker), and infrastructure-as-code (e.g., Terraform).
Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and evaluating AI system reliability.
Expertise in SQL and Python.
Proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
Required experience with BigQuery and dbt.
Solid understanding of data-warehouse modelling concepts.
Working knowledge of data security and governance best practices: IAM/least-privilege, secret management, and handling of sensitive/PII data.
Experience in cloud environments (GCP preferred; AWS/Azure an asset).
Passion for data- and AI-driven development.
Excellent written and verbal communication skills.
Successful candidates must be able to show proof of legal eligibility to work in the country they have applied to without sponsorship.
Subject to pre-employment background screening, including a criminal record check.

Nice To Haves

Familiarity with Fivetran.
Familiarity with marketing software categories — content management, CRM, experience management, email marketing, and tracking tools.
Familiarity with data visualization tools such as Power BI or Tableau.

Responsibilities

Own and evolve the marketing data platform, including BigQuery data warehouse and dbt transformations, designing and maintaining scalable ETL/ELT pipelines.
Design, build, and deploy applications and AI agents on Google Cloud to automate marketing and product workflows, including exposing backends and creating lightweight frontends/UIs.
Develop AI-powered tools for self-serve automation for Marketing, Product, and other teams, and apply AI to automate data-engineering tasks.
Uphold engineering best practices for AI-assisted codebases, including Git, code review, semantic versioning, automated testing, and CI/CD.
Ensure AI-generated code is production-ready and meets professional standards.
Own data security and governance, including IAM, secret management, PII handling, BigQuery row/column-level security, and AI system guardrails.
Collaborate with various departments (Marketing, Finance, Sales, etc.) to understand needs, ensure data integrity, and resolve discrepancies.
Shape the marketing technology and AI platform stack to align with strategic priorities and maximize business impact.
Assess and mitigate risks related to delivery timelines, quality, stability, and performance.
Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology, staying current through research and innovation.
Provide technical guidance and architectural expertise across initiatives.
Support evolving business priorities by taking on other responsibilities as needed.