Job Posting Title: Lead Software Engineer_Onsite SF-FSC
Location: SFO, CA ( Hybrid role)
Type: 12 months+
LOCAL and w2 only. Client is ok to interview non-local candidates, but they want this candidate to relocate to Bay Area to work on hybrid basis.
Lead Full Stack Engineer (MarTech Engineering & Orchestration)
Role Overview
Lead Full Stack Engineer in the FOE POD 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.
- 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.
Never miss an opportunity! Create an alert based on the job you applied for.
