MarTech Architect: AI-Driven Enterprise Solutions

EY; Buenos Aires; On-site; ARS 136,430,000 - 197,065,000; Full time

Job summary

EY invites applications for a MarTech Solution Architect to shape the company's enterprise technology stack. You will partner with Product Managers and cross-functional teams across ET, C&I, Talent, Alumni and Communications to build scalable MarTech ecosystems and data-driven capabilities.

The role focuses on aligning with Data Architecture, defining standards, and driving AI-enabled data models and compliant integrations across CRM, CDP, CMS, and analytics platforms.

Qualifications

• Deep knowledge of MarTech ecosystems including CRM, CDP, CMS, and analytics.

Responsibilities

• Define and maintain the MarTech architecture strategy and vision.
• Define architectural standards, reusable patterns, and reference architectures.
• Shape multi-year roadmaps with Product Managers and cross-functional leaders.
• Translate business needs into future-state capability models and architectures.
• Collaborate with Data Architecture to design AI-ready data models and taxonomies.
• Ensure MarTech systems integrate with enterprise data lakes, CDPs, and identity systems.
• Promote API-first, event-driven, modular, and composable architecture principles.
• Champion performance, resilience, observability, and global scalability.

Skills

MarTech ecosystems

Architectural modelling

Data governance

Integrations design

Stakeholder management

TOGAF

Cloud certifications

Education

TOGAF certification

Cloud certifications

Tools

Lucidchart

LeanIX

ArchiMate

Adobe Experience Cloud

Salesforce

CDP

CMS

CRM analytics

Azure

AWS

GCP

Job description

EY invites applications for a MarTech Solution Architect to shape the company's enterprise technology stack. You will partner with Product Managers and cross-functional teams across ET, C&I, Talent, Alumni and Communications to build scalable MarTech ecosystems and data-driven capabilities.

The role focuses on aligning with Data Architecture, defining standards, and driving AI-enabled data models and compliant integrations across CRM, CDP, CMS, and analytics platforms.