Lead Engineer – Future of Email POD (MarTech Engineering & Orchestration)

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 ManTech 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.