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At RTX , the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
RTX is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join our team.
What You Will Do:
- Design and maintain scalable HR data architecture in Snowflake, including databases, schemas, data models and semantic views.
- Build and optimize ETL/ELT pipelines using Matillion and Snowflake to support reporting, analytics and operational needs.
- Define and enforce data governance, data quality, consistency, lineage, naming standards and compliance with regulatory requirements for HR data.
- Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
- Implement and manage security policies for user views and semantic layers, including role-based access and data protection.
- Manage SQL Server environments used for metadata management, including performance tuning and reliability.
- Establish DevOps practices (version control, deployment automation, environment promotion) for schemas, pipelines and data models.
- Partner with Product and Delivery, BU Consultants and BI development teams to translate requirements into scalable, governed data solutions.
- Provide consultation and guidance on data architecture, integration and analytics capabilities.
- Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
- Support AI-ready and agentic use cases by organizing trusted semantics, metadata and reusable data products.
Qualifications You Must Have:
- Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
- 7+ years of experience in data architecture or data engineering.
- Strong hands-on experience with Snowflake (design, modeling, performance) and cloud data services.
- Experience building API Integration, ETL/ELT pipelines.
- Strong SQL Server skills (design, indexing, performance tuning).
- Proven exp