Adobe Engineer SFO CA-On-site

About the role

Adobe Engineer SFO CA-On-site

Not Java position

Main Skills : Martech, adobe, Vibe Coding, Cloud

Role Overview

Lead Full Stack Engineer 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.

Key Responsibilities (continued)

* 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.