Martech Data Engineer

Martech Data Engineer
Location- San Francisco Bay Area, California (Hybrid/2 Daya Onsite)
Job Type-Long Term Contract

Key Responsibilities
Lead endtoend MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
Architect scalable, eventdriven systems that power realtime marketing experiences and automated customer journeys.
Design and implement orchestration workflows using Adobe Campaign or equivalent enterprisegrade tools.
Develop highperformance bigdata applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
Build and optimize cloudnative data pipelines on Azure, including ADFbased ingestion, transformation, and orchestration.
Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
Drive AIassisted engineering practices including Vibe Coding and other generativeAI 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 handson experience in Adobe Campaign or similar orchestration tools.
Strong proficiency in bigdata technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.
Cloud engineering experience with Azure services, including Azure Data Factory.
Advanced system design capabilities including eventdriven architectures and distributed design patterns.
Experience with AIaugmented development such as Vibe Coding or comparable frameworks.
Proven ability to lead engineering teams in a fastpaced, crossfunctional environment.
Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.
Preferred Qualifications
Experience in largescale marketing ecosystems (ESP, CDP, personalization engines, realtime decisioning).
Background in highvolume 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.