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

RTX

Associate Director, Solutions Architect for Data, Analytics & AI/ML Platforms at RTX, a leading aerospace and defense company. Designing enterprise data platforms and advanced analytics solutions.

Posted 5/30/2026full-timeRemote • Connecticut • 🇺🇸 United StatesSenior💰 $157,200 - $298,800 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsETLGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringanalyticsAI/MLcloud-native data platformsLakehouse architecturesELT toolingETL toolingreal-time data streamingAPI integration

Soft Skills

stakeholder managementcommunicationexecutive engagementthought leadershipmentoringcollaborationleadershipstrategic recommendationstechnology modernizationcross-functional teamwork