MarTech & AdTech Solutions Architect Lead

EY

Austin (TX)

On-site

USD 139,000 - 276,000

Full time

4 days ago
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Job summary

EY is seeking a BMC MarTech Solution Architect to shape the future of the digital, data, and marketing technology ecosystem. You will partner with Product Managers and cross-functional teams to define architecture strategy, standards, and roadmaps, ensuring scalable analytics, personalization, and responsible AI adoption.

You’ll collaborate with Data Architecture, ET, and C&I teams to design AI-ready data models, taxonomies, and metadata structures, and drive interoperability across enterprise

Qualifications

  • Experience shaping MarTech architecture across CRM, CDP, CMS, analytics.
  • Ability to translate business needs into capability models and architectures.
  • Proven track record delivering enterprise-scale integrations and data models.

Responsibilities

  • Define and maintain the BMC MarTech architecture strategy and vision.
  • Define MarTech architectural standards, reusable patterns, and reference architectures.
  • Shape multi-year roadmaps with Product Managers and cross-functional leaders.
  • Translate strategic business needs into future-state capability models and architectures.
  • Collaborate with Data Architecture teams to design AI-ready data models and taxonomies.
  • Ensure MarTech systems integrate with data lakes, CDPs, and analytics platforms.

Skills

MarTech ecosystems
Architectural modelling
Data strategy & AI enablement
Integrations design
Communication & stakeholder mgmt
Data Architecture or AI/ML platform
Adobe Experience Cloud / Salesforce /

Education

Architecture certifications (TOGAF)
Cloud certifications

Tools

Adobe Experience Cloud
Salesforce
CDPs
DAM

Job description

EY is seeking a BMC MarTech Solution Architect to shape the future of the digital, data, and marketing technology ecosystem. You will partner with Product Managers and cross-functional teams to define architecture strategy, standards, and roadmaps, ensuring scalable analytics, personalization, and responsible AI adoption.

You’ll collaborate with Data Architecture, ET, and C&I teams to design AI-ready data models, taxonomies, and metadata structures, and drive interoperability across enterprise

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