Senior Manager, Solutions Architect - Data, Analytics & AI/ML Platforms (Remote)

Overview

Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms at Pratt & Whitney, a senior technical leader who defines the end-to-end architecture of enterprise data platforms, advanced analytics and AI/ML capabilities, and drives platform modernization across cloud, Lakehouse and AI ecosystems.

What you'll do

• Define the long-term architecture for data, analytics and AI/ML platforms in alignment with enterprise digital strategy.
• Develop reference architectures, design patterns and platform standards for cloud, Lakehouse and AI ecosystems.
• Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
• Provide thought leadership in modern architecture principles and technology modernization.
• Evaluate emerging technologies and provide strategic recommendations (AI, knowledge graphs, real-time streaming, ML Ops, etc.).
• Drive continuous technology transformation to minimize technical debt.
• Architect end-to-end solutions spanning ingestion, transformation, governance, analytics and ML operationalization.
• Lead architectural design for platforms such as Databricks, Snowflake, Azure Data Services, SAP S/4 connectors and enterprise knowledge graph/ontology platforms.
• Define patterns for real-time streaming, data virtualization, metadata frameworks and multi-cloud integration.
• Ensure platform scalability, performance, redundancy, cost optimization and security.
• Collaborate with Cybersecurity and Data Governance teams to enforce data privacy, lineage, cataloging and access control standards.
• Ensure compliance with government regulations, export control and enterprise security policies.
• Provide architectural leadership across cross-functional engineering teams and strategic programs.
• Serve as a trusted advisor to business executives, product owners and technical stakeholders.
• Mentor and guide data engineers, architects and analytics practitioners across the organization.
• Lead architecture governance forums and design reviews for major programs.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Data Science or a related field with 10+ years of applicable work experience; OR an Advanced Degree with 7+ years of applicable work experience; OR an Associate's Degree with 12+ years of applicable work experience; OR in lieu of a degree, 14+ years of applicable work experience.
• 7+ years of experience in data engineering, data architecture, analytics, AI/ML or related technical domains.
• 5+ years architecting cloud-native data platforms (Azure, AWS or GCP).
• Deep experience with Databricks, Lakehouse architectures and modern ELT/ETL tooling.
• Strong understanding of distributed systems, real-time data streaming, data governance and API/Integration architectures.
• Demonstrated ability to design and implement enterprise-scale data architecture solutions.
• Strong stakeholder management, communication and executive engagement skills.

Nice to have

• Experience with SAP S/4HANA integrations, manufacturing data, or aerospace & defense environments.
• Hands-on knowledge of AI/ML frameworks (MLflow, Feature Stores, RAG, vector databases).
• Experience with knowledge graph / ontology platforms (e.g., Kobai, Neo4j, Databricks Graph technologies).
• Experience leading teams in Agile delivery environments.
• Proven ability to drive modernization, cloud migration or digital transformation initiatives.

Details

• Remote role, primarily offsite (from home); may include a degree of onsite presence depending on proximity to an RTX site.
• U.S. citizenship is required; U.S.-based role.
• No security clearance required.
• Candidates may be asked to attend select interview steps in person at an RTX office.