обновлено 3 дня назад
Solution Architect, Customer Data and MarTech
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solution Architect, Customer Data and MarTech (Customer Data/MarTech): Designing customer data, CDP, Customer 360, marketing automation, personalization, and attribution architectures with an accent on identity resolution, governance, and first-party data activation. Focus on integrating MarTech and AdTech ecosystems, architecting real-time and batch decisioning, operationalizing ML-driven engagement, and optimizing platform strategy and cost.
Location: Headquarters in Katy, Texas, United States; regular in-office attendance is required.
Company
is a sports and outdoor retail company focused on serving customers through a broad retail ecosystem.
What you will do
- Define solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution.
- Integrate MarTech and AdTech platforms with data platforms, CMS/DAM systems, and analytics ecosystems.
- Establish identity resolution, enterprise customer ID, consent enforcement, data lineage, and governance strategies.
- Architect real-time and batch decisioning frameworks for personalization, experimentation, and ML-driven customer engagement.
- Enable first-party audience activation across paid media and Retail Media Networks, including targeting and monetization.
- Evaluate vendors, guide build-versus-buy decisions, optimize platform costs, and act as the design authority for customer data and marketing technology.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in customer data, data engineering, or MarTech, including at least 3 years in marketing technology architecture.
- Expertise in CDPs, Customer Master Data, CRM or loyalty systems, Customer 360, identity graphs, segmentation, and customer data activation.
- Experience with privacy, consent management, data governance, data lineage, and high-volume batch and streaming data ingestion.
- Proficiency with MarTech and AdTech ecosystems such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, and Google Analytics.
- Experience with cloud platforms, preferably GCP, plus APIs, microservices, event-driven architectures, Kafka or Pub/Sub, data lakes, data warehouses, and Lakehouse patterns.
Nice to have
- Master’s degree.
- Exposure to AI-driven engagement, automation, and GenAI.
- Experience supporting Retail Media Networks and audience monetization.
Culture & Benefits
- Full-time employment within a people-focused sports and outdoor retail organization.
- Collaboration with Marketing, Product, IT, Data Science, and external vendors.
- Work is governed by company policies, procedures, professional staff expectations, and established work hours.
- Regular in-office attendance is required.
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