Lead Data Engineer with MarTech
Georgia IT Inc
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.
- 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.
Vacancy posted 1 day ago
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