Senior MarTech Developer

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 such as social media, search, display, and video.
• Lead media activation integration to enable digital marketing through social media and advertising platforms.
• Design and implement real-time personalization strategies for existing and new customers across various 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, profiling, and data activation for personalized campaigns.
• 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, hygiene, and privacy considerations.
• Work closely with marketing, business, IT, and UX teams to understand data needs, capture relevant events, and deliver use cases.
• Facilitate communication and knowledge sharing across all stakeholders.
• Design and implement scalable and robust MarTech solutions in collaboration with the Enterprise Architecture team.

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 MarTech tools and platforms such as Tealium, Adobe, Google Cloud Platform, Kafka, Pega, and Adobe Target.
• Experience with Customer Data Platforms like Tealium CDP, Adobe Experience Platform, and 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 working with cloud computing platforms, particularly Google Cloud Platform.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively.
• Detail-oriented and organized.
• Passion for data-driven marketing and customer experience.

Nice to Have

• Experience with AI/ML concepts such as recommendation engines, propensity modeling, and next-best-action algorithms.
• Knowledge of data privacy and compliance considerations.

Qualifications

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