Explicitly requires vibe coding skills; mentions AI-assisted engineering practices including Vibe Coding and other generative-AI accelerators.
About the Role
Senior MarTech Engineer (Lead) responsible for architecting, building, and scaling marketing technology solutions that combine MarTech orchestration, big-data engineering, cloud-native design, and AI-augmented development. Hands-on role leading engineering initiatives, designing event-driven systems, and partnering with product and marketing teams to deliver real-time customer engagement capabilities.
Job Description
Role
Senior/Lead MarTech Engineer responsible for architecting, building, and scaling next-generation marketing technology solutions. The role combines MarTech orchestration, big-data engineering, cloud-native design, and AI-assisted development practices, and requires hands-on technical leadership and cross-functional collaboration.
Key Responsibilities
- Lead end-to-end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
- Architect scalable, event-driven systems for real-time marketing experiences and automated customer journeys.
- Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise-grade tools.
- Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
- Build and optimize cloud-native data pipelines on Azure, including ADF-based ingestion, transformation, and orchestration.
- Apply modern distributed system design patterns to ensure reliability, maintainability, and scalability.
- Drive AI-assisted engineering practices, including Vibe Coding and other generative-AI development accelerators.
- Collaborate with product, marketing, and data teams to translate business needs into technical solutions.
- Mentor engineers and improve engineering standards, code quality, and operational excellence.
Requirements
- Hands-on experience with MarTech platforms such as Adobe Campaign or similar orchestration tools.
- Proficiency in big-data technologies: Scala, Databricks, Spark SQL, Spark Streaming, and Python.
- Cloud engineering experience with Azure services, including Azure Data Factory (ADF).
- Advanced system design capabilities, including event-driven architectures and distributed design patterns.
- Experience with AI-augmented development practices (e.g., Vibe Coding).
- Proven leadership of engineering teams and strong communication/stakeholder alignment skills.
Preferred Qualifications
- Experience in large-scale marketing ecosystems (ESP, CDP, personalization engines, real-time decisioning).
- Background in high-volume data processing for customer engagement or growth marketing.
- Familiarity with DevOps practices including CI/CD, observability, and automated testing.
- Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.
Compensation & Benefits
- Pay: $100.00 - $110.00 per hour.
- Benefits include health insurance and relocation assistance.
Location & Remote
- Work location: Hybrid remote in San Francisco, CA (94114).