{"schemaVersion":"jobsearcher.job.v1","id":"dd70e698aa76e7d6388d7ae3","url":"https://jobsearcher.com/jobs/dd70e698aa76e7d6388d7ae3","canonicalUrl":"https://jobsearcher.com/jobs/dd70e698aa76e7d6388d7ae3","title":"Lead Data Engineer with MarTech","description":"Lead Data Engineer With MartechLocation: SFO, CA (Hybrid 2 days a week)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 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 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 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.","company":"Georgia IT","rawCompany":"georgia it","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-11T04:52:13.297Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer with MarTech","description":"Lead Data Engineer With MartechLocation: SFO, CA (Hybrid 2 days a week)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 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 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 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.","datePosted":"2026-09-11T04:52:13.297Z","dateModified":"2026-09-11T04:52:13.297Z","hiringOrganization":{"@type":"Organization","name":"Georgia IT","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dd70e698aa76e7d6388d7ae3"},"url":"https://jobsearcher.com/jobs/dd70e698aa76e7d6388d7ae3"}}