Senior Manager, Solutions Architect - Data, Analytics & AI/ML Platforms (Remote)
About The Position
Pratt & Whitney Digital Technology is hiring a remote Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms. This senior technical leader defines end-to-end architecture for enterprise data platforms, advanced analytics solutions, and AI/ML capabilities, and drives platform modernization across cloud, Lakehouse, and AI ecosystems. The role combines deep technical expertise, enterprise systems thinking, and strong communication skills to guide development teams, influence business strategy, and ensure integration across platforms including Databricks, Azure, AWS, SAP S/4, and emerging AI toolsets. It serves as a bridge between business, product, architecture, and Digital Technology organizations. The successful candidate provides thought leadership and architectural rigor, engages stakeholders, and designs scalable, secure, high-performing enterprise data solutions. Responsibilities span architecture strategy and standards, end-to-end solution and platform design, governance and compliance, and leadership across engineering teams and strategic programs.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and 10+ years of applicable work experience; or an advanced degree and 7+ years; or an associate degree and 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 on 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.
- U.S. citizenship is required because only U.S. citizens are authorized to access information under the program or contract.
Nice To Haves
- Experience with SAP S/4HANA integrations, manufacturing data, or aerospace and defense environments.
- Hands-on knowledge of AI/ML frameworks such as MLflow, Feature Stores, RAG, and vector databases.
- Experience with knowledge graph or 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.
Responsibilities
- 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 proofs of concept to assess architecture feasibility.
- Provide thought leadership in modern architecture principles and technology modernization.
- Evaluate emerging technologies, including AI, knowledge graphs, real-time streaming, and ML Ops, and provide strategic recommendations.
- 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 or 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.
- Advise 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.
Benefits
- 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 depending on position level and collective-bargaining coverage; payments are not guaranteed.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
