Solution Architect, Customer Data
Listed on 2026-09-17
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IT/Tech
Data Engineering, Information Security & Data Protection, Data Analyst, Data Warehousing
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 Mar Tech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems.
Identity & Governance:
Define and govern identity resolution, enterprise customer , 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 Mar Tech 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 Mar Tech, 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.
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, orMarTechdomains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions
Mar Techdata domain expert skilled in customer data,clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
Provenexpertisein 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 theMarTechand 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 GenAIis considereda plus.
Proficiency with Mar Tech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, Hub Spot, 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)
Data Platforms:
Data…
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