Senior MarTech Developer

About the Role

Key Responsibilities

• Design and implement a robust media marketing architecture for new and existing customers, encompassing Targeting & Retargeting strategies across various channels (e.g., social media, search, display, 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 (e.g., online and offline channels).
• Integrate real-time data streams (e.g., website behavior, location data, purchase history) to deliver personalized experiences.
• Design and integrate rules-based and machine learning-based personalization models.
• Develop and manage data pipelines for ingesting and enriching 1st, 2nd, and 3rd party data as part of CDP strategy.
• Develop and maintain customer segments based on behavioral, demographic, and other relevant data.
• Integrate the Customer Data Platform (CDP) with downstream systems to activate customer data for personalized campaigns.
• Design and implement a prospect data store, including data acquisition, enrichment strategies, data quality, hygiene processes, 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.

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 stack including Tealium, Google Cloud Platform, Kafka, Pega, and Adobe Target.
• Experience with Customer Data Platforms 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 such as recommendation engines, propensity modeling, and next-best-action algorithms.
• Experience with data privacy and compliance considerations.
• Knowledge of data pipelines and data orchestration tools.

Qualifications

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