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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Informatica MDM Solutions Architect - **Company:** The Smart - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Application Layers, Systems Engineering, Big Data, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Enterprise Information Management, Metadata, Meta-Data Management, Oracle Databases, Oracle (Applications), Reference Data, Informatica Powercenter, Snowflake, Build Management, Information Technology, Data Lineage, Data Analytics, Enterprise Integration, Data Management, Data Pipelines - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=365191f6e22ea71f ## About the Role 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 ## 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)