MADTech - Architect & Lead
Sparc Technology Services Inc
Job Description
Job Description
Role:1:
Location: Irving TX – Hybrid – Only locals
Working Model: Hybrid- 3 days in office
Seeking a Principal MADTech Architect & Lead to guide the architectural design, implementation of our next-generation Unified MADTech Real-Time & Batch Architecture. 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: 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.
- 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.
Flexible work from home options available.
Vacancy posted 7 days ago
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