Benefits:
Competitive salary
Location
100% Onsite Austin, TX (Must reside within 50-mile radius) No remote work permitted
Experience Level
Senior Level (8 or more years of relevant experience)
Role Overview
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
Required Qualifications
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