Senior MarTech Developer - Multiple roles

About the Role

Key Responsibilities

• Design and implement a robust media marketing architecture for new and existing customers, encompassing targeting and retargeting strategies across various channels.
• Develop and implement strategies for audience segmentation, targeting, and retargeting across social media, search, display, and video channels.
• Lead media activation integration to enable digital marketing through social media and advertising platforms.
• Design and implement real-time personalization strategies across online and offline channels, integrating real-time data streams to deliver personalized experiences.
• Design and integrate rules-based and machine learning-based personalization models, including recommendation engines, propensity modeling, and next-best-action algorithms.
• Design and implement a Customer Data Platform (CDP) strategy, including data ingestion, customer segmentation, and data activation to downstream systems.
• Develop and manage data pipelines for ingesting and enriching first, second, and third-party data.
• Design and implement a prospect data store, including data acquisition, quality, privacy, and compliance considerations.
• Collaborate with enterprise architecture, marketing, business, IT, and UX teams to understand data needs and deliver use cases.
• Facilitate communication and knowledge sharing across all stakeholders.
• Leverage expertise in MarTech stack including Tealium, Google Cloud Platform, Kafka, Pega, Adobe Target, and various CDPs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in MarTech development and architecture with a focus on media marketing, customer data, real-time personalization, and CDP implementations.
• Expertise in Tealium, Adobe, Google Cloud Platform, Kafka, Pega, and Adobe Target.
• Experience with CDPs such as Tealium CDP, Adobe Experience Platform, Salesforce CDP.
• Strong programming skills in Java, Python, or other relevant languages.
• Experience with data integration tools and technologies.
• Proficiency in SQL and NoSQL databases.
• Experience with cloud computing platforms, specifically Google Cloud Platform.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Detail-oriented and organized.
• Passion for data-driven marketing and customer experience.

Nice to Have

• Experience with AI/ML concepts and their application in marketing, including recommendation engines, propensity modeling, and next-best-action algorithms.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of relevant experience in MarTech development and architecture.