MDM Customer Architect

Infoverity•Dublin, OH

6d•Remote

About The Position

Infoverity is seeking an experienced architect to lead the design, architecture, and technical delivery of enterprise Master Data Management (MDM) solutions. The role focuses on building scalable solutions that support data quality, governance, and integration across enterprise systems, helping clients establish trusted, AI-ready data foundations. MDM solutions are integrated with cloud platforms, data lakes, and analytics architectures to support advanced analytics and machine learning initiatives. This customer-facing role includes advising clients, leading solution architecture and implementation, mentoring teams, and shaping enterprise data strategies. The position can be performed remotely; relocation to central Ohio is not necessary.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
Extensive experience architecting, configuring, and deploying MDM solutions with Informatica IDMC.
Deep knowledge of conceptual, logical, and physical data modeling for domains such as Customer, Product, Vendor, or Location.
Working knowledge of party and location domain data, including modeling for operational and analytics use cases.
Extensive experience integrating with leading CRM and ERP solutions.
Experience integrating with leading DaaS platforms.
A solid background building ETL, API, and real-time integration solutions connecting MDM hubs with operational systems, analytics platforms, and AI pipelines.
Proficiency with modern data platforms and engineering tools, including Snowflake, Databricks, Azure, AWS, or SQL.
Strong communication skills and the ability to translate technical designs into business outcomes.
Consulting experience, including the ability to manage client relationships and lead engagements from strategy through implementation.

Responsibilities

Partner with clients to analyze business challenges, define technical requirements, and create solution blueprints aligned with business goals and AI use cases.
Guide clients in designing workflows and governance processes, and explain how MDM supports long-term data strategies.
Serve as the primary architect for MDM solutions, designing data models, workflows, hierarchies, and matching and merging schemas.
Develop architecture patterns and best practices that ensure enterprise data accuracy, completeness, and consistency.
Align MDM architectures with modern data strategies and integrate them with cloud data platforms such as Snowflake and Databricks.
Oversee MDM configuration and deployment in alignment with governance and AI-readiness requirements.
Mentor junior consultants and technical teams on MDM and data quality processes.
Create technical documentation, including architecture diagrams, governance processes, and user guidelines.
Collaborate with quality assurance teams to develop solution testing frameworks and verify metadata, integration, and data quality standards.
Perform complex development and configuration.
Perform match tuning exercises with clients.
Design MDM workflows and governance structures that incorporate data quality checks, validation rules, and stewardship processes.
Enable lineage tracking and metadata management so enterprise data is traceable and ready for analytics and AI platforms.
Lead post-implementation evaluations to identify improvements to MDM governance, data quality, and AI readiness.
Promote a data-first, AI-ready mindset within client organizations.