Principal MADTech Architect & Lead

AgreeYa • Irving, TX

6d • Hybrid

About The Position

AgreeYa is seeking a Principal MADTech Architect & Lead to drive the architectural design and hands-on implementation of a next-generation Unified MADTech Real-Time & Batch Architecture. The role combines technical architecture, solutioning, and hands-on engineering leadership. The architect will collaborate with core engineering teams, enterprise stakeholders, and strategic technology partners—including Google, GrowthLoop, and MetaRouter—to build real-time and batch data solutions and agentic AI workflows using the Google Cloud ecosystem and modern MarTech orchestration platforms.

The position is based in Irving, Texas, with a hybrid working model requiring three days in the office. A bachelor's or master's degree in a relevant technical field is preferred.

AgreeYa is a global systems integrator that delivers software, solutions, and services. Established in 1999 and headquartered in Folsom, California, the company has more than 2,200 staff across its offices and works with over 500 organizations across a range of industries. AgreeYa is an equal opportunity employer.

Requirements

• At least 7 years of experience in MarTech/AdTech Architecture, Cloud Data Engineering, or AI Solution Architecture.
• Deep expertise in the Google Cloud ecosystem, including Cloud Spanner, BigQuery, Pub/Sub, and Vertex AI / Google Reasoning Engine.
• Strong experience architecting and implementing real-time and batch data pipelines across GCP and Google Marketing Platform (GMP).
• Hands-on experience with real-time event streaming, Pub/Sub, WebSockets, and low-latency key-value/document data stores.
• Strong understanding of batch ETL/ELT pipelines and modern data architecture patterns.
• Experience designing real-time recommendation and decisioning engines using LLMs, Agentic AI, or ML models.
• Experience with MetaRouter or similar real-time tag-routing/event-ingestion platforms.
• Experience with GrowthLoop for audience membership, segmentation, orchestration, business rules, and real-time triggers.
• Ability to translate high-level business requirements into scalable technical architecture and hands-on implementation.
• Exceptional communication and stakeholder-management skills.

Nice To Haves

• Experience with Optimizely and the Adobe ecosystem, including AEM/AEP.
• Experience with Google Reasoning Engine for dynamic offer prioritization, Next Best Offer (NBO), and personalized campaign/content generation.
• Experience working directly with technology partners such as Google, GrowthLoop, and MetaRouter.
• Experience with cross-functional technology teams supporting POS, Digital, and Assisted channels.
• Strong experience leading design reviews, technical discussions, roadmap alignment, and architecture refinement.
• Experience in enterprise-scale MarTech, AdTech, AI, and customer-data platforms.
• Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related technical field.

Responsibilities

• Drive the architectural design and hands-on implementation of a Unified MADTech Real-Time & Batch Architecture.
• Build real-time and batch data solutions and agentic AI workflows using the Google Cloud ecosystem and modern MarTech orchestration platforms.
• Translate high-level business requirements into scalable technical architecture and hands-on implementation.
• Collaborate with core engineering teams, enterprise stakeholders, and strategic technology partners.
• Design and implement real-time and batch data pipelines across GCP and Google Marketing Platform.
• Design real-time recommendation and decisioning engines using LLMs, Agentic AI, or machine learning models.
• Lead design reviews and technical discussions, and support roadmap alignment and architecture refinement.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal