Description
JD and required Skills & Responsibilities :
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.
(ref:hirist.tech)
