Staff Marketing Technology Engineer

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

📋 Description

• Take ownership of and enhance the marketing data platform, which encompasses the BigQuery warehouse and dbt-based transformations.

• Create and manage ETL/ELT pipelines that connect various data sources.

• Design, develop, and implement applications and AI agents on Google Cloud.

• Build AI-driven tools that streamline Marketing and Product workflows, enabling automated self-service.

• Utilize AI to facilitate automation in data engineering tasks.

• Maintain Git-based version control, code review processes, semantic versioning, automated testing, and CI/CD practices.

• Ensure data security and governance, which includes IAM, secret management, handling of PII, and BigQuery row/column-level security, along with AI guardrails.

• Work collaboratively with teams in Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists.

• Identify and resolve data discrepancies through root-cause analysis.

• Define the marketing technology and AI platform stack in alignment with strategic priorities.

• Evaluate and mitigate risks related to delivery, quality, stability, and performance.

• Act as a subject matter expert in data architecture, AI application engineering, and marketing technology.

• Offer technical guidance and architectural expertise across various initiatives.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.

• Over 5 years of data engineering experience, with a focus on software and/or AI application development.

• Strong foundational knowledge in software engineering, including Git-based workflows, code review, automated testing, and CI/CD methodologies.

• Practical experience in deploying applications on Google Cloud, such as Cloud Run, Cloud Functions, or GKE.

• Familiarity with Docker containerization and infrastructure as code tools, such as Terraform.

• Experience in building and deploying AI/LLM applications and agents, including Vertex AI, Agent Builder, LangChain, or LangGraph.

• Proficient in API design, such as FastAPI, and assessing the reliability of AI systems.

• Expertise in SQL and Python programming languages.

• Demonstrated experience in designing and implementing both batch and streaming ETL/ELT pipelines, along with API integration.

• Required experience with BigQuery and dbt.

• Strong understanding of data warehouse modeling concepts.

• Working knowledge of IAM/least-privilege principles, secret management, and handling of sensitive/PII data.

• Experience in cloud environments; GCP is preferred, while AWS/Azure experience is considered an asset.

• Exceptional written and verbal communication skills.

• Familiarity with Fivetran and various marketing software categories is a plus.

• Knowledge of Power BI or Tableau is an advantage.

• Must provide proof of legal eligibility to work in the country of application without sponsorship.

• Successful candidates will undergo pre-employment background screening, including a criminal record check.

🏝️ Benefits

• Fully remote-first work with flexible work arrangements 🏡

• Comprehensive Health and Wellness Benefits

• Retirement savings programs

• Eligibility for two different bonus plans

• Generous time off

• Comprehensive medical and dental benefits based on your country of location 🧘

• New Hire Equipment Allowance

• Monthly Flex Allowance 📦

• Opportunities for career growth and internal mobility

• Employee-driven DE&I programs 🫶

• Accessibility accommodations during the recruitment process