Absorblms The Staff Marketing Technology Engineer owns and evolves the marketing data platform and builds AI applications to automate marketing and product workflows. The role ensures engineering best practices and data security across the platform.
Responsibilities
Own and evolve our marketing data platform — a BigQuery data warehouse with dbt-based transformations — designing and maintaining ETL/ELT pipelines that connect diverse data sources and scale as our measurement needs grow.
Design, build, and deploy applications and AI agents on Google Cloud — exposing backends for agentic use and lightweight frontends/UIs where needed — to automate marketing and product workflows.
Develop AI-powered tools that let Marketing, Product, and other teams self-serve automation, and apply AI to automate data-engineering work itself.
Uphold engineering best practices across an AI-assisted codebase: Git-based version control, code review, semantic versioning, automated testing, and CI/CD for clean, reproducible deployments. You are the quality gate that ensures AI-generated code is production-ready — not shipped as-is.
Own data security and governance across the platform: least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and guardrails on AI systems that have access to data (e.g., against prompt injection and data exfiltration).
Collaborate closely with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists to understand data and tooling needs, ensure data integrity, and resolve discrepancies through root-cause analysis.
Shape the marketing technology and AI platform stack, aligning it with strategic priorities to maximize impact on business outcomes and growth.
Assess and mitigate risks to delivery timelines, quality, stability, and performance, ensuring the reliability and robustness of our data and AI infrastructure.
Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology — staying current through research, proofs of concept, and reusable frameworks that drive innovation and efficiency.
Provide technical guidance and architectural expertise across initiatives, and take on other responsibilities as needed to support evolving business priorities.
What you’ll bring:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
