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

RTX; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

RTX's Pratt & Whitney Digital Technology team seeks a Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms to define end-to-end architecture for enterprise data platforms and analytics capabilities. This role leads platform modernization across cloud, Lakehouse, and AI ecosystems.

The leader guides cross-functional teams, aligns with business strategy, and ensures seamless integration across Databricks, Azure, AWS, SAP S/4, and emerging AI toolsets while collaborating with

Qualifications

• 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 Associates with 12+ years; OR 14+ years in lieu of a degree.
• 7+ years 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 streaming, data governance, and API/integration architectures.
• Demonstrated ability to design and implement enterprise-scale data architecture solutions.

Responsibilities

• Define long-term architecture for data, analytics, and AI/ML platforms aligned with digital strategy.
• Lead patterns and standards for cloud, Lakehouse and AI ecosystems.
• Architect end-to-end solutions including ingestion, transformation, governance, analytics, and ML ops.
• Ensure platform scalability, performance, security and cost optimization.
• Collaborate with Cybersecurity and Data Governance on privacy, lineage, and access control.

Skills

Data engineering

Data architecture

Analytics

AI/ML

Cloud-native platforms

Leadership

Education

Bachelor's degree in Computer Science or related field

Advanced degree preferred

12+ years experience (equivalents)

Tools

Databricks

Lakehouse

Azure

AWS

Snowflake

SAP S/4 connectors

Knowledge graphs

Job description

Country: United States of America

Location: US-CT-REMOTE

Position Role Type: Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type: None/Not Required

Security Clearance Status: Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems.

With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years.

Join us and help shape the future of aerospace and defense.

Our Pratt & Whitney Digital Technology team has an exciting new remote job opportunity for a Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms .

What You Will Do:

The Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms is a senior technical leader responsible for defining the end-to-end architecture of enterprise data platforms, advanced analytics solutions, and AI/ML capabilities.

This role drives platform modernization across cloud, Lakehouse, and AI ecosystems.

This leader combines deep technical expertise, enterprise systems thinking, and strong communication skills to guide development teams, influence business strategy, and ensure seamless integration across platforms such as Databricks, Azure, AWS, SAP S/4, and emerging AI toolsets.

The role functions as a key bridge between business, product, architecture, and Digital Technology organizations.

Success requires thought leadership, architectural rigor, strong stakeholder engagement, and the ability to design scalable, secure, and high-performing data solutions across the enterprise.

Key Responsibilities:

Enterprise Architecture & Strategy :

• 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.

Solution & Platform Architecture :

• 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.

Governance, Security & Compliance :

• 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.

Leadership & Stakeholder Management :

• 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.

Qualifications You Must Have:

• 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 Associates Degree and 12+ years of experience 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.


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