Job title: Lead Engineer Future of Email POD (MarTech Engineering & Orchestration)
Location: San Francisco CA
Hybrid
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.
Job title: Lead Engineer Future of Email POD (MarTech Engineering & Orchestration) Location: San Francisco CA Hybrid Role Overview: The Lead Engineer in the FOE POD is a senior technical leader responsible for architecting building and scaling next generation marketing technology solution...
Job title: Lead Engineer Future of Email POD (MarTech Engineering & Orchestration)
Location: San Francisco CA
Hybrid
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.
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