Martech Data Engineer

Job Title: Martech Data Engineer Location: San Francisco (Hybrid) 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.