> Markdown version of [/jobs/ext/3405835-common-data-model-lead-hybrid](https://www.wearedevelopers.com/jobs/ext/3405835-common-data-model-lead-hybrid). 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). --- # Common Data Model Lead (Hybrid) - **Company:** RTX - **Location:** Windsor Locks, CT, United States - **Experience:** Expert - **Salary:** $107,500.0 - $204,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Architecture, Data Governance, Data Integration, Graph Database, NoSQL, PowerDesigner, SPARQL, SQL Databases, Digital Twin, Snowflake, Microsoft Fabric, AI Platforms - **Published:** September 16, 2026 - **Apply:** https://dejobs.org/x/x/2A3E0A6E2FA84E43B52EC1C9C3ED99F5/job/ ## About the Role * Typically requires a University Degree and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience * U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. * Experience with Snowflake. * Experience in data modeling, data architecture, or ontology/knowledge graph development. * Expertise in conceptual, logical, and physical modeling and canonical data design. * Proficiency with ER/Studio, PowerDesigner, Hackolade, or similar tools. * Strong skills in SQL, SPARQL, Cypher, and relational/NoSQL databases. * Experience integrating data across ERP, PLM, MES, MRO, IoT, analytics, or AI systems. * Ability to enforce standards, resolve semantic conflicts, and influence stakeholders. * Strong skills in communication, and building out program artifacts Qualifications We Prefer: * Experience in aerospace, defense, or other regulated industries. * Familiarity with ITAR, DFARS, ISO, or similar compliance frameworks. * Experience with data fabric, data mesh, Lakehouse architectures, and cloud platforms (Azure, AWS). * Background supporting digital thread, digital twin, and AI/ML programs. * Experience mentoring or leading data modeling teams ## Description * Lead the enterprise common data model across conceptual, logical, and physical layers. * Define and enforce modeling standards, metadata conventions, and canonical entities. * Resolve semantic and definitional conflicts across business units and systems. * Improve interoperability across ERP, PLM, MES, MRO, IoT, analytics, and AI platforms. * Ensure compliance with enterprise, regulatory, and security requirements. * Mentor data modelers and architects to improve modeling maturity. Collaborate with architects, engineers, and business SMEs to align business concepts with enterprise models. Communicate modeling strategy and recommendations to all levels, including executives. What YOU will Learn: * How to scale a unified data model across a large, highly regulated enterprise. * How data modeling enables digital thread, digital twin, AI/ML, and automation initiatives. * How enterprise data architecture drives interoperability and decision-making. * How to influence adoption of data standards across complex technical and business environments., Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. presence associated with this role. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again. ## Related Videos - [DataForce Studio](https://www.wearedevelopers.com/videos/1657-dataforce-studio) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)