Solution Architect
BayOne Solutions
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.
- 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.
- dTech/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.
- rchitecture & 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.
Vacancy posted 4 days ago
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