Solution Architect#25-09377

Katy, TX

Onsite Job Description

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.