Lead Full Stack Engineer

Lead Full Stack Engineer

Lead Full Stack Engineer is a senior technical leader responsible for architecting, building, and scaling next-generation marketing technology solutions. 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.