Are you passionate about architecting solutions that unify customer data, personalization, content, and measurement to drive impactful marketing strategies and enhance customer experiences?
We are looking for a Solution Architect – Customer Data & Marketing Technology to define and deliver scalable, secure, and future-ready architectures. In this role, you’ll lead the design of solutions across Customer Data Platforms (CDP), Marketing Automation (Email / SMS / Push), CMS / DAM, AdTech, and Analytics ecosystems.
You will collaborate with Marketing, Product, IT, Data Science, and vendor partners to enable Customer 360, real-time personalization, ML-driven decision making, closed-loop measurement, and omnichannel engagement. This is a highly visible role where your expertise will directly shape how we connect with customers and measure impact on a scale.
Education :
- Bachelor’s degree in Computer Science, Information Systems, Marketing Technology, Engineering, or a related field (Master’s degree a plus).
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, HybridMarketing 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.