Solution Architect - Customer Data Platforms (CDP) & MarTechEducation Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (master's degree preferred).
Work Experience - 8+ years of experience in customer data, data engineering, or MarTech domains, including at least 3 years in marketing technology architecture focused on personalization and customer engagement.
- Deep expertise in customer data domains including clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
- Proven experience with Customer Data Platforms (CDP), Customer Master Data, CRM/loyalty systems, and Customer 360 solutions.
- Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDPs, data warehouses, and external identity providers.
- Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage.
- Experience designing architectures for personalization, machine learning decisioning, loyalty programs, closed-loop measurement, and attribution.
- Hands-on experience with marketing automation platforms (ESP, SMS, push) integrated with customer data and analytics platforms.
- End-to-end experience across the MarTech and AdTech ecosystem, including CDPs, customer data platforms, personalization engines, paid media platforms, analytics, and activation.
- Experience integrating CMS/DAM platforms with personalization and engagement ecosystems.
- Experience supporting Retail Media Networks (RMN), audience monetization, and first-party data activation.
- Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor assessments.
- Experience designing high-volume, high-velocity data ingestion architectures (batch and streaming).
- Experience collaborating with data science teams to operationalize ML models into production workflows.
- Exposure to AI-driven engagement, automation, and generative AI is a plus.
Skills - MarTech/AdTech Platforms: Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar
- Customer Data: CDPs, customer data warehouses, customer master data, Customer 360
- Identity Resolution: Deterministic and probabilistic matching; first-, second-, and third-party identity graphs
- Marketing Platforms: ESP, SMS, push, CRM, CMS/DAM, personalization and decisioning engines
- AdTech & Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation
- Cloud Platforms: GCP preferred (AWS/Azure acceptable)
- Integration Patterns: APIs, microservices, event-driven architecture (Kafka, Pub/Sub)
- Data Platforms: Data lakes, data warehouses, lakehouse architectures
- Data Governance: Consent management, lineage, auditability, data contracts
- Architecture Strategy: Platform scalability, cost optimization, real-time vs batch tradeoffs, build vs buy
- AI/GenAI: Applying AI/GenAI across personalization, automation, and engineering workflows
- Process Automation: DevOps, AIOps, and MarTech automation frameworks
- Strong communication and presentation skills with the ability to translate complex concepts for business and executive stakeholders
- Strong analytical thinking, problem-solving, and ability to balance technical rigor with business value
Responsibilities Architecture & Design - Define and deliver solution architectures across CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems
- Establish target-state architecture with clear separation between data mastering, activation, and analytics
Integration - Enable seamless integration across MarTech, AdTech, data platforms, CMS/DAM, and analytics systems
Identity & Governance - Define enterprise identity strategy, including customer ID management, identity resolution, and consent enforcement aligned to privacy standards
Personalization & Decisioning - Architect real-time and batch decisioning frameworks to support scalable personalization, experimentation, and ML-driven engagement
Data & Content Strategy - Establish standards for data flows, identity management, customer mastering, and content governance
Media & Activation - Enable first-party data activation across paid media and retail media environments, supporting audience targeting and monetization
Vendor Strategy & Cost Optimization - Evaluate platforms, drive build vs buy decisions, and optimize technology investments and usage efficiency
Innovation - Stay current on emerging trends in MarTech, AdTech, AI, and analytics; recommend new capabilities to drive measurable business outcomes
Governance - Act as design authority for customer data and marketing technology, ensuring scalability, security, and alignment with enterprise standards
Collaboration - Partner cross-functionally with Marketing, Product, IT, Data Science, and external vendors to deliver scalable, reusable architecture solutions
Additional Requirements - Ability to meet standard job-related vision and hearing requirements
- Adherence to organizational work policies and professional standards
- Regular in-office attendance as required
