Solution Architect

Work Experiences

• 6+ years of experience in solution architecture, customer data, marketing technology, or related fields, with at least 3+ years in an architecture discipline, preferably in retail.
• Proven expertise in CDP (COTS or in-house), customer MDM, CRM/loyalty systems, and Customer 360 solutions.
• 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/MDM, personalization engines, paid media platforms, analytics, and attribution.
• Background integrating CMS/DAM platforms with personalization and engagement ecosystems.
• 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 considered a plus.

• Proficiency with Mar Tech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, Hub Spot, Google Analytics, and automation platforms.
• Strong technical knowledge in:
  • Customer Data: CDP, MDM, Customer 360.
  • Identity resolution:
    First part, Hybrid
  • Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization engines.
  • AdTech/Media: paid media platforms, attribution frameworks, RMN.
  • Cloud Platforms: GCP preferred (AWS/Azure acceptable).
  • Integration Patterns: APIs, microservices, event‑driven architectures (Kafka, Pub/Sub).
  • Data Platforms:
    Data Lakes, Warehouses, Lakehouse patterns, structured/unstructured DBs.
  • Data Analytics & AI/GenAI: enabling predictive, prescriptive, and generative applications.
  • Process Automation:
    Dev Ops, AIOps, enterprise automation frameworks.
• 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, MDM, Customer 360, marketing automation, personalization, and attribution ecosystems.
• Integration: Ensure seamless connections between Mar Tech platforms, AdTech tools, data platforms, CMS/DAM, and analytics.
• Personalization & Decisioning: Architect real‑time personalization, ML/AI decisioning engines, and closed‑loop measurement frameworks.
• Data & Content Tech Strategy: Define standards for data flows, identity resolution, golden record management, and content governance.
• Innovation & Strategy: Stay ahead of trends in Mar Tech, AdTech, AI, and analytics; recommend new technologies that drive measurable business value.
• Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring compliance with privacy, scalability, and security standards.
• Collaboration: Partner with Marketing, IT, Data Science, and vendors (Treasure Data, GCP, CMS/DAM partners) to align on roadmaps and deliver outcomes.