MarTech Data Engineer

GSPANN Technologies, Inc; San Francisco (CA); On-site; USD 145,000 - 185,000; Full time

Job summary

GSPANN Technologies, Inc. is seeking a MarTech Data Engineer to lead end-to-end engineering initiatives across orchestration, data processing, and activation pipelines.

You will architect event-driven systems powering real-time marketing experiences and automated customer journeys. The role requires hands-on experience with Adobe Campaign, Azure Data Factory, Databricks, Spark SQL/Streaming, Python and Scala.

Qualifications

• 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.

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.
• Design and implement orchestration workflows using Adobe Campaign or equivalent tools.
• Develop high-performance big-data apps using Scala, Databricks, Spark SQL/Streaming, and Python.
• Build cloud-native data pipelines on Azure (ADF ingestion, transformation, orchestration).
• Mentor engineers and elevate engineering standards and operational excellence.
• Collaborate with product, marketing, and data teams to translate business needs into robust solutions.
• Drive AI-assisted engineering practices including Vibe Coding.

Skills

Leadership

Stakeholder communication

Cross-functional collaboration

MarTech expertise

AI-assisted development familiarity

Tools

Adobe Campaign

Azure Data Factory

Databricks

Spark SQL

Spark Streaming

Python

Scala

Job description

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and. With five global delivery centers and 2000+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role: MarTech Data Engineer

Duration: 12 Months

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.
• 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.

Working at GSPANN

GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry.

The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.