Solution Architect, Customer Data and MarTech

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (master’s degree a plus).

8+ years of experience in customer data, data engineering, or Mar Tech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions.

Mar Tech 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 Mar Tech 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 Mar Tech/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 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)
• 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:
  Dev Ops, 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.

• 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…