Staff Marketing Technology Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of and enhance our marketing data platform — a BigQuery data warehouse utilizing dbt-based transformations — by designing and managing ETL/ELT pipelines that connect various data sources and scale with our evolving measurement requirements.

• Create, build, and deploy applications and AI agents on Google Cloud — providing backends for agentic usage and lightweight frontends/UIs as necessary — to streamline marketing and product workflows.

• Develop AI-driven tools that empower Marketing, Product, and other teams to self-serve automation, while applying AI to automate data-engineering tasks.

• Maintain engineering best practices throughout an AI-assisted codebase: employing Git-based version control, conducting code reviews, implementing semantic versioning, and utilizing automated testing and CI/CD for clean, reproducible deployments. You will serve as the quality gate ensuring AI-generated code is ready for production and not deployed as-is.

• Manage data security and governance across the platform: enforcing least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and establishing guardrails for AI systems with data access (e.g., to prevent prompt injection and data exfiltration).

• Work closely with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI experts to comprehend data and tooling requirements, ensure data integrity, and resolve discrepancies through root-cause analysis.

• Influence the marketing technology and AI platform stack, aligning it with strategic objectives to maximize impact on business results and growth.

• Evaluate and mitigate risks to delivery timelines, quality, stability, and performance, ensuring the reliability and robustness of our data and AI infrastructure.

• Act as a subject-matter expert in data architecture, AI application engineering, and marketing technology — remaining up-to-date through research, proofs of concept, and reusable frameworks that foster innovation and efficiency.

• Offer technical guidance and architectural expertise across initiatives, taking on additional responsibilities as necessary to support shifting business priorities.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical discipline.

• Over 5 years of data engineering experience, showcasing a broad understanding of software and/or AI application development.

• Strong fundamentals in software engineering: Git-based workflows, code review, automated testing, and CI/CD for clean, reproducible deployments.

• Practical experience deploying applications on Google Cloud (e.g., Cloud Run, Cloud Functions, or GKE), containerization (Docker), and infrastructure-as-code (e.g., Terraform).

• Experience in building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and assessing AI system reliability.

• Proficiency in SQL and Python, with a proven track record in designing and executing ETL/ELT processes and pipelines (both batch and streaming) and integrating with APIs.

• Required experience with BigQuery and dbt, along with a solid understanding of data warehouse modeling concepts.

• Familiarity with data security and governance best practices: IAM/least-privilege access, secret management, and handling of sensitive/PII data.

• Experience in cloud environments (preferably GCP; AWS/Azure is a plus) and a passion for data- and AI-driven development.

• Excellent written and verbal communication abilities.

• Familiarity with Fivetran and various marketing software categories — including content management, CRM, experience management, email marketing, and tracking tools — is advantageous.

• Knowledge of data visualization tools such as Power BI or Tableau is a plus.

🏝️ Benefits

• Fully remote-first work environment with flexible work arrangements 🏡

• Comprehensive Health and Wellness Benefits, which include retirement savings programs, eligibility for two different bonus plans, generous time off, and extensive medical and dental benefits based on your country of residence 🧘

• New Hire Equipment Allowance and monthly Flex Allowance to aid in your success 📦

• Limitless opportunities for career advancement and internal mobility 🌱

• Employee-driven DE&I initiatives 🫶