Solution Architect

Architecture & Design

• Define and deliver solution architectures across CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems
• Establish target-state architecture with clear separation between data mastering, activation, and analytics

Integration

• Enable seamless integration across MarTech, AdTech, data platforms, CMS/DAM, and analytics systems

Identity & Governance

• Define enterprise identity strategy, including customer ID management, identity resolution, and consent enforcement aligned to privacy standards

Personalization & Decisioning

• Architect real-time and batch decisioning frameworks to support scalable personalization, experimentation, and ML-driven engagement

Data & Content Strategy

• Establish standards for data flows, identity management, customer mastering, and content governance

Media & Activation

• Enable first-party data activation across paid media and retail media environments, supporting audience targeting and monetization

Vendor Strategy & Cost Optimization

• Evaluate platforms, drive build vs buy decisions, and optimize technology investments and usage efficiency

Innovation

• Stay current on emerging trends in MarTech, AdTech, AI, and analytics; recommend new capabilities to drive measurable business outcomes

Governance

• Act as design authority for customer data and marketing technology, ensuring scalability, security, and alignment with enterprise standards

Collaboration

• Partner cross-functionally with Marketing, Product, IT, Data Science, and external vendors to deliver scalable, reusable architecture solutions

Additional Requirements

• Ability to meet standard job-related vision and hearing requirements
• Adherence to organizational work policies and professional standards
• Regular in-office attendance as required

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (master's degree preferred). Work Experience

• 8+ years of experience in customer data, data engineering, or MarTech domains, including at least 3 years in marketing technology architecture focused on personalization and customer engagement.
• Deep expertise in customer data domains including clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
• Proven experience with Customer Data Platforms (CDP), Customer Master Data, CRM/loyalty systems, and Customer 360 solutions.
• Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDPs, data warehouses, and external identity providers.
• Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage.
• Experience designing architectures for personalization, machine learning 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 ecosystem, including CDPs, customer data platforms, personalization engines, paid media platforms, analytics, and activation.
• Experience integrating CMS/DAM platforms with personalization and engagement ecosystems.
• Experience supporting Retail Media Networks (RMN), audience monetization, and first-party data activation.
• Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor assessments.
• Experience designing high-volume, high-velocity data ingestion architectures (batch and streaming).
• Experience collaborating with data science teams to operationalize ML models into production workflows.
• Exposure to AI-driven engagement, automation, and generative AI is a plus.

Skills

• MarTech/AdTech Platforms: Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar
• Customer Data: CDPs, customer data warehouses, customer master data, Customer 360
• Identity Resolution: Deterministic and probabilistic matching; first-, second-, and third-party identity graphs
• 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 architecture (Kafka, Pub/Sub)
• Data Platforms: Data lakes, data warehouses, lakehouse architectures
• Data Governance: Consent management, lineage, auditability, data contracts
• Architecture Strategy: Platform scalability, cost optimization, real-time vs batch tradeoffs, build vs buy
• AI/GenAI: Applying AI/GenAI across personalization, automation, and engineering workflows
• Process Automation: DevOps, AIOps, and MarTech automation frameworks
• Strong communication and presentation skills with the ability to translate complex concepts for business and executive stakeholders
• Strong analytical thinking, problem-solving, and ability to balance technical rigor with business value

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.