Martech Engineer

BayOne Solutions; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

BayOne Solutions is seeking a Lead MarTech Engineer to drive end‑to‑end initiatives across orchestration, data processing, and activation pipelines in a Bay Area setting. You will architect event‑driven systems powering real‑time marketing experiences and automated customer journeys.

The role requires hands‑on Adobe Campaign expertise, Azure Data Factory experience, and a track record leading fast‑paced, cross‑functional engineering teams. Strong communication is essential.

Qualifications

• Hands-on experience with Adobe Campaign or similar orchestration tools.
• Cloud engineering with Azure including Data Factory.
• Advanced system design for event-driven architectures.
• Experience leading engineering teams in fast-paced environments.
• Strong communication and stakeholder alignment.

Responsibilities

• Lead end‑to‑end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
• Architect scalable, event‑driven systems powering 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.

Skills

Adobe Campaign

Azure Data Factory

Event-driven design

Distributed systems

AI-assisted development

Leadership

Tools

Databricks

Spark SQL

Spark Streaming

Python

Scala

Job description

• 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.
• 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:

• 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.