Remote AI-Ready MDM Architect for Enterprise Data

Infoverity, Inc.; Dublin (OH); Remote; USD 140,000 - 180,000; Full time

Job summary

Infoverity is seeking an experienced Architect to lead the design, architecture, and delivery of MDM solutions, crafting scalable, enterprise-grade data platforms with governance and AI-ready data foundations.

You will integrate with cloud data platforms, data lakes, and analytics architectures, enabling reliable datasets for AI and ML initiatives while mentoring teams and shaping strategies for data quality and AI readiness.

Qualifications

• Bachelor’s degree in CS/IS/Engineering.
• Extensive MDM deployment experience with Informatica IDMC.
• Data modeling for Customer, Product, Vendor, or Location domains with AI-ready data.
• Experience integrating with CRM/ERP systems.
• ETL, API, real-time integrations for MDM hubs.
• Cloud data platforms knowledge (Snowflake, Databricks, Azure, AWS).
• Strong communication and consulting skills for client engagements.

Responsibilities

• Advise with clients to translate business challenges into MDM requirements and blueprints.
• Lead MDM solution architecture including data models, workflows, and merging schemas.
• Ensure AI-readiness by integrating with cloud data platforms and governance practices.
• Mentor teams, deliver governance docs and QA, and perform complex development tasks.

Skills

MDM architecture

Informatica IDMC

Data modeling

CRM integration

ERP integration

ETL development

API integration

Cloud platforms

Snowflake

Databricks

Azure

AWS

SQL

Data quality

AI readiness

Consulting

Communication

Education

Bachelor’s degree in CS/IS/Engineering

Tools

CRM systems

ERP systems

Job description

Infoverity is seeking an experienced Architect to lead the design, architecture, and delivery of MDM solutions, crafting scalable, enterprise-grade data platforms with governance and AI-ready data foundations.

You will integrate with cloud data platforms, data lakes, and analytics architectures, enabling reliable datasets for AI and ML initiatives while mentoring teams and shaping strategies for data quality and AI readiness.