> Markdown version of [/jobs/ext/4428323-madtech-architect](https://www.wearedevelopers.com/jobs/ext/4428323-madtech-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MadTech Architect - **Company:** Kanak Elite Services Inc - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Database, Information Engineering, Data Integration, Extract Transform Load (ETL), Machine Learning, Rule Engine, Data Streaming, WebSocket, Google Cloud, Large Language Models, Agentic-AI, Adobe, Low Latency, Optimizely, Data Pipelines - **Published:** October 7, 2026 - **Apply:** https://www.careerjet.com/jobad/usd1f5c1c0b4b7dd19bc73fcfa90c16ae7 ## About the Role * Experience: 7+ years in MarTech/AdTech architecture, Cloud Data Engineering, or AI Solution Architecture. * GCP Expertise: Deep experience across Google Cloud ecosystem, including Cloud Spanner, BigQuery, Pub/Sub, and Vertex AI / Google Reasoning Engine. * Desired Technologies: Hands-on experience or familiarity with MetaRouter, GrowthLoop, Optimizely, and Adobe ecosystem tooling (AEM/AEP etc). * AI & Agentic Workflows: Proven experience designing real-time recommendation/decision engines using LLMs, Agentic AI, or ML models. * Data Engineering & Streaming: Deep knowledge of real-time streaming (Pub/Sub, websockets, low-latency key-value/document stores) and batch ETL/ELT pipelines. * Leadership: Exceptional communication skills with a proven track record of bridging the gap between high-level business requirements and hands-on technical execution. ## Description In this role, you will serve as both the technical architect and a hands-on implementation lead. You will drive discussions with core engineering teams, collaborate with key external partners (Google, GrowthLoop, and MetaRouter), and build real-time agentic AI workflows using Google Reasoning Engine, GCP Cloud Spanner, GCP BigQuery, and modern martech orchestration engines. Responsibilities * Lead technical discussions, design reviews, and roadmap alignment with core engineering implementation groups, enterprise stakeholders, and technology partners (Google, GrowthLoop, MetaRouter). * Hands-on Solutioning & Architecture[strong data-path-to-node="9,1,0" data-index-in-node="0"]: Architect and co-implement real-time and batch pipelines across Google Cloud Platform (GCP) and Google Marketing Platform (GMP). * Agentic AI & Decisioning Engine Deployment: Lead the integration of Google Reasoning Engine for dynamic offer prioritization, Next Best Offer (NBO), and personalized campaign content generation. * Data Integration & Ingestion: Oversee client-side real-time tag routing via MetaRouter, real-time event streaming via GCP Pub/Sub, and low-latency profile storage via GCP Cloud Spanner. * Audience & Journey Orchestration: Work closely with GrowthLoop for audience membership/segmentation and GrowthLoop Orchestration (Journey Engine) to execute business rules and instant triggers. * Cross-Functional Collaboration: Partner with cross functional technology teams across different channels like POS, Digital & Assisted.