Informatica MDM Solutions Architect
Role details
Job location
Tech stack
Job description
The Enterprise Architect 3 - Master Data Architect leads the design and implementation of enterprise Master Data Management (MDM) solutions within a large-scale healthcare environment. This role focuses on developing data architecture, governance frameworks, and integration solutions to enable high-quality, trusted, and accessible enterprise data. The position works closely with data engineering, analytics, and business teams to support data-driven decision-making and large-scale modernization initiatives. Key Responsibilities Enterprise Architecture & Solution Design
- Translate business requirements into enterprise data architecture and system solutions
- Design large-scale MDM and data integration solutions aligned with enterprise standards
- Develop solution architectures including process, technology, and staffing components
- Create scope documents, risk assessments, and financial models for complex initiatives
Master Data Management (MDM) Architecture
- Design and implement enterprise MDM solutions using Informatica and IDMC platforms
- Support identity resolution, data mastering, attribution, and reference data governance
- Develop and maintain master data models for healthcare provider and member domains
- Ensure data is accessible, governed, and trusted across enterprise systems
Data Engineering & ETL Development
- Develop ETL processes supporting data movement and transformation into MDM systems
- Utilize tools such as Informatica, Oracle, and Snowflake for large-scale data integration
- Maintain and optimize data pipelines and metadata loads
- Support enhancements and upgrades to MDM application layers
Data Governance & Quality
- Define and enforce enterprise data governance, quality, and compliance standards
- Ensure adherence to security, regulatory, and organizational policies
- Support data lineage, metadata management, and audit readiness
- Improve consistency and quality of master data across systems
AI & Data Analytics Enablement
- Develop AI prompt strategies for querying and synthesizing complex master data
- Create reusable query templates and standardized reporting prompts
- Validate AI-generated outputs and ensure accuracy and compliance
- Promote data-driven culture and adoption of analytics tools
Collaboration & Stakeholder Engagement
- Work with business stakeholders, data architects, and IT teams to deliver data solutions
- Translate technical concepts into clear, non-technical insights for leadership
- Support multiple concurrent data and analytics initiatives
- Provide expert guidance on data trends, insights, and system capabilities
Project Delivery & Agile Execution
- Support planning, monitoring, and execution of MDM initiatives using agile methodologies
- Ensure high-quality build and deployment of data solutions
- Coordinate across teams to deliver scalable and reliable enterprise systems
- Maintain documentation and support knowledge transfer initiatives
Requirements
Do you have experience in Technical writing within technology?, Do you have a Bachelor's degree?, * 8 or more years of experience designing and implementing Master Data Management solutions
- 8 or more years of experience with Informatica and ETL development
- 8 or more years of experience with Enterprise Information Management frameworks
- 8 or more years of experience designing custom solutions using Informatica PowerCenter
- Experience working with data modeling tools such as ERwin, ERStudio, or equivalent
- Strong experience with large-scale data integration using Oracle, Snowflake, or similar platforms
- Strong analytical, communication, and stakeholder engagement skills
- Proven experience working with both technical and non-technical teams
- Strong technical writing and documentation skills
Preferred Qualifications
- Experience architecting enterprise MDM solutions
- Experience as an Oracle DBA
- Experience installing and configuring Informatica Metadata Manager
- Bachelor's degree in Computer Science, Systems Engineering, or related field
Core Skills & Attributes
- Strong enterprise architecture and data modeling expertise
- Ability to design scalable, high-performance data solutions
- Strong leadership and cross-functional collaboration skills
- Analytical mindset with focus on data quality and governance
- Ability to communicate complex data concepts clearly
- Strong problem-solving and decision-making capabilities
- Experience working in large, regulated enterprise environments
Benefits & conditions
- Competitive salary