Manager, Data Architect (Remote)

RTX•Farmington, NM

2d•Remote

About The Position

RTX, a global leader in aerospace and defense, is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join their team. This role involves designing and maintaining scalable HR data architecture, building and optimizing ETL/ELT pipelines, defining data governance, and implementing security policies. The position also requires managing SQL Server environments, establishing DevOps practices, partnering with various teams to deliver data solutions, and supporting AI-ready use cases. The company emphasizes its commitment to innovation, complex problem-solving, and a diverse workforce.

Requirements

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 experience with data governance, metadata management and data security.
Experience with version control (e.g., Git) and automated deployment for data assets.
Strong communication and stakeholder collaboration skills.

Nice To Haves

Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
Certification in Snowflake or relevant cloud data services.
Scripting skills (e.g., Python, Shell) for automation.
Familiarity with API integrations and microservices architecture.
Knowledge of cloud platforms (Preferably Azure).
Experience with HR systems such as Workday

Responsibilities

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.