Role Overview
- The Lead Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next generation marketing technology solutions.
- This role blends deep MarTech orchestration expertise with modern big data engineering, cloud-native design, and emerging AI driven development patterns.
- The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high-impact customer engagement capabilities.
Key Responsibilities
- Lead end to end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
- Architect scalable, event-driven systems that power 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 design patterns to ensure reliability, maintainability, and scalability across distributed systems.
- 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 robust technical solutions.
- Mentor engineers and elevate engineering standards, code quality, and operational excellence within the POD.
Required Skills & Experience
- Deep expertise in MarTech platforms with hands-on experience in Adobe Campaign or similar orchestration tools.
- Strong proficiency in big data technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.
- Cloud engineering experience with Azure services, including Azure Data Factory.
- Advanced system design capabilities including event-driven architectures and distributed design patterns.
- Experience with AI augmented development such as Vibe Coding or comparable frameworks.
- Proven ability to lead engineering teams in a fast paced, cross functional environment.
- Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.
Preferred Qualifications
- Experience in large scale marketing ecosystems (ESP, CDP, personalization engines, Real Time decisioning).
- Background in high volume data processing supporting 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.
San Francisco, CA, United States of America
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28/01/2026 14:33:25
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