Solution Architect

Solution Architect - Customer Data Platforms (CDP) & MarTech

Education
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: Google Cloud Platform 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

Responsibilities

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

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.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Salary : $145,000 - $155,000