Senior Manager, Solutions Architect – Data, Analytics, AI/ML Platforms

RTX

. Define long-term architecture for data, analytics, and AI/ML platforms aligned with enterprise digital strategy .

Posted 11/6/2026full-timeRemote • Connecticut • United StatesSenior💰 $132,400 - $251,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting cloud-native data platforms and AI/ML ecosystems, with a strong focus on data governance, real-time streaming, and enterprise-scale solutions. Proven ability to lead cross-functional teams and drive technology modernization initiatives while ensuring compliance with security and regulatory standards.

Highest-signal resume keywords

Cloud-Native Data ArchitectureDatabricks ExpertiseAI/ML FrameworksData GovernanceStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureAnalyticsAI/MLReal-Time Data StreamingDistributed SystemsELT/ETL ToolingCloud MigrationModernization InitiativesEnterprise-Scale Solutions

Soft Skills

CommunicationExecutive EngagementTeam LeadershipMentoringStakeholder Management

Tools & Technologies

Azure Data ServicesAWSGCPSAP S/4HANAKnowledge GraphsNeo4jMLflowFeature StoresDatabricks Graph TechnologiesLakehouse Architectures

Industry Keywords

CybersecurityData GovernanceComplianceExport ControlAerospace and DefenseManufacturing DataDigital TransformationAgile DeliveryTechnology ModernizationTechnical Debt

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsETLGoogle Cloud PlatformNeo4jSnowflake

About the role

Key responsibilities & impact

Define long-term architecture for data, analytics, and AI/ML platforms aligned with enterprise digital strategy
Develop reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems
Define and lead technology proofs of concept
Provide thought leadership on modern architecture principles and technology modernization
Evaluate emerging technologies including AI, knowledge graphs, real-time streaming, and MLOps
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 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 on 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
Advise business executives, product owners, and technical stakeholders
Mentor data engineers, architects, and analytics practitioners
Lead architecture governance forums and design reviews for major programs

Requirements

What you’ll need

U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract
Bachelor's degree in Computer Science, Engineering, Data Science, or related field with 10+ years of applicable work experience; OR advanced degree with 7+ years; OR associate degree with 12+ years; OR 14+ years of applicable work experience in lieu of a degree
7+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains
5+ years architecting cloud-native data platforms using 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
Experience with SAP S/4HANA integrations, manufacturing data, or aerospace and defense environments
Hands-on knowledge of AI/ML frameworks including MLflow, Feature Stores, RAG, and vector databases
Experience with knowledge graph/ontology platforms such as Kobai, Neo4j, or Databricks Graph technologies
Experience leading teams in Agile delivery environments
Proven ability to drive modernization, cloud migration, or digital transformation initiatives

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
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
Annual short-term and/or long-term incentive compensation programs may be available
Employee referral award may be available
Remote work primarily from home