Lead Data Engineer MarTech Engineering & Orchestration EXP

HYBRID MODEL

Role Summary:

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.