{"schemaVersion":"jobsearcher.job.v1","id":"4047515eb436d78028d2a058","url":"https://jobsearcher.com/jobs/4047515eb436d78028d2a058","canonicalUrl":"https://jobsearcher.com/jobs/4047515eb436d78028d2a058","title":"Martech Developer","description":"Key ResponsibilitiesLead 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 & ExperienceDeep 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 QualificationsExperience 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.","company":"VBeyond","rawCompany":"vbeyond","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T13:45:51.730Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Martech Developer","description":"Key ResponsibilitiesLead 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 & ExperienceDeep 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 QualificationsExperience 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.","datePosted":"2026-07-23T13:45:51.730Z","dateModified":"2026-07-23T13:45:51.730Z","hiringOrganization":{"@type":"Organization","name":"VBeyond","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo 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