Adobe Engineer SFO CA-On-site

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.