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 MarTech 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. Skills Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, 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: DevOps, 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. Responsibilities Architecture & Design: Define and deliver solution architectures for CDP, MDM, Customer 360, marketing automation, personalization, and attribution ecosystems. Integration: Ensure seamless connections between MarTech 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 MarTech, 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. #J-18808-Ljbffr