> Markdown version of [/jobs/ext/4313201-manager-data-architect-remote](https://www.wearedevelopers.com/jobs/ext/4313201-manager-data-architect-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Architect (Remote) - **Company:** RTX - **Location:** Farmington, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $107,500.0 - $204,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Business Intelligence Development, Databases, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, DevOps, Digital Assets, Python (Programming Language), Metadata, Meta-Data Management, Microsoft SQL Server, Performance Tuning, Scripting, Snowflake, Indexer, Git, Data Layers, HR Software, Deployment Automation, Data Analytics, Software Version Control, Data Pipelines, Api Management, Workday, Microservices - **Published:** October 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c292ffc0d133cc91 ## About the Role RTX is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join our team., * 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 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., * 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 Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. ## Description * 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.