Position: Lead Data Engineer with MarTech
Location: SFO, CA (Hybrid 2 days a week)
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.