Lead MarTech Full Stack Engineer
We are seeking a Lead MarTech Full Stack Engineer to spearhead engineering initiatives at the intersection of marketing technology, big data and full-stack development. This role is pivotal in designing and implementing scalable real-time systems and customer-facing applications while collaborating with cross-functional teams to drive technical excellence and business impact.
Responsibilities
- Lead MarTech engineering projects involving data processing, orchestration, activation pipelines and application layers
- Architect scalable event-driven systems for real-time marketing and automated customer journeys
- Design and implement orchestration workflows using Adobe Campaign or equivalent platforms
- Build high-performance big-data applications with Scala, Databricks, Spark SQL, Spark Streaming and Python
- Develop and optimize cloud-native pipelines on Azure using Azure Data Factory
- Create and maintain full-stack applications with technologies like React, Angular or Vue on the frontend, and Node.js, Python or Java on the backend
- Implement robust APIs and microservices to integrate MarTech platforms with customer-facing solutions
- Apply advanced design patterns for scalability, reliability and maintainability in distributed systems
- Drive adoption of AI-assisted engineering practices like Vibe Coding to optimize development processes
- Partner with product, marketing and data teams to convert business requirements into technical solutions
- Mentor engineering colleagues, enhancing code quality, team performance and operational excellence
Requirements
- 5+ years of full-stack development experience including React, Angular or Vue for frontend combined with Node.js, Python or Java for backend development
- Qualifications in RESTful and GraphQL API design as well as CI/CD pipelines for full-stack deployments
- Familiarity with AI-driven development tools like Vibe Coding or similar frameworks
- Proven track record of leading technical teams in dynamic collaborative environments
- Effective communication skills to align stakeholders and translate complex technical concepts into business-focused outcomes
- Advanced proficiency in English (C1+)
Nice to have
- Background in large-scale marketing ecosystems such as ESP, CDP or real-time decisioning platforms
- Knowledge of high-volume data processing for customer engagement and growth strategies
- Competency in DevOps practices including CI/CD pipelines, observability and automated testing for both data and application layers
- Familiarity with AI/ML pipelines for personalization, segmentation or content automation
- Showcase of building customer-facing web applications integrated with MarTech and data platforms
