What are the responsibilities and job description for the Martech Data Engineer position at GSPANN Technologies?
About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm
Location: San Francisco, California(Hybrid/Open for Relocation Candidates)
Type: 6-8 months
Client : Sephora
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.
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 an 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/disability.