Lead Data Engineer

Role: Lead Data Engineer – Future of Email POD (MarTech Engineering & Orchestration) Key Skills: Scala, Databricks, Spark SQL, Spark Streaming, MarTech and Orchestration. Experience : 10+ years Location: San Francisco, CA Mode: Hybrid We're at Coforge is seeking for 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: • 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.