Associate Director, Solutions Architect – Data, Analytics & AI/ML Platforms

Job not on LinkedIn

🕒 5 days ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $157.2k - $298.8k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🚀 Aerospace

Aerospace • Defense • Sustainability

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• 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 strong thought leadership in pursuit of 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science or related technical field and 12+ years of applicable work experience; OR an Advanced degree in Computer Science, Engineering, Data Science or related technical field and 10+ years of applicable work experience. • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. • 10+ 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.

🏖️ Benefits

• medical • dental • vision • life insurance • short-term disability • long-term disability • 401(k) match • flexible spending accounts • flexible work schedules • employee assistance program • Employee Scholar Program • parental leave • paid time off • holidays