Solution Architect

Solution Architect Posted: 12 June 2026 Location: Katy, TX Reference: 1007051 Solution Architect - Customer Data Platforms (CDP) & MarTech Education 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 Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. #J-18808-Ljbffr Dexian DISYS