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Solution Architect, Customer Data

  • Houston, TX
Responsibilities:  
  • Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics. 
  • Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems. 
  • Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies. 
  • Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement. 
  • Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms. 
  • Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization. 
  • Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics. 
  • Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes. 
  • Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards. 
  • Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions. 

Qualification:  
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Or a realted field (Master's degree a plus)
  • 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions 
  • MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels. 
  • Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions. 
  • Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers. 
  • Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage. 
  • Experience designing architectures for personalization, ML 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 stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation. 
  • Background integrating CMS/DAM platforms with personalization and engagement ecosystems. 
  • Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data. 
  • Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments. 
  • Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming). 
  • Experience working with Data Science teams to operationalize ML models into customer-facing workflows. 
  • Exposure to AI-driven engagement, automation, and GenAI is considered a plus.   
  • Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems. 
  •  Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360 
  • Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching 
  • 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 architectures (Kafka, Pub/Sub) 
  • Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases 
  • Customer Data Governance: Consent management, data lineage, auditability, data contracts 
  • Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs 
  • AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency. 
  • Process Automation: DevOps, AIOps & automation frameworks for Martech 
  • Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders. 
  • Strong problem-solving, creativity, and ability to balance technical rigor with business value.