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

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Establish long-term architecture for data, analytics, and AI/ML platforms that aligns with the enterprise digital strategy.

• Create reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems.

• Define and spearhead technology proofs of concept.

• Offer thought leadership on contemporary architecture principles and technology modernization.

• Assess emerging technologies such as AI, knowledge graphs, real-time streaming, and MLOps.

• Propel ongoing technology transformation to reduce technical debt.

• Architect comprehensive solutions that encompass 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.

• Establish patterns for real-time streaming, data virtualization, metadata frameworks, and multi-cloud integration.

• Guarantee platform scalability, performance, redundancy, cost optimization, and security.

• Collaborate with Cybersecurity and Data Governance teams on privacy, lineage, cataloging, and access control standards.

• Ensure adherence to government regulations, export control, and enterprise security policies.

• Provide architectural leadership across cross-functional engineering teams and strategic programs.

• Counsel business executives, product owners, and technical stakeholders.

• Mentor data engineers, architects, and analytics practitioners.

• Facilitate architecture governance forums and design reviews for significant programs.

⛳️ Requirements

• U.S. citizenship is mandatory; only U.S. citizens are permitted to access information under this program/contract.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 10+ years of relevant work experience; OR an advanced degree with 7+ years; OR an associate degree with 12+ years; OR 14+ years of relevant work experience in lieu of a degree.

• 7+ years of experience in data engineering, data architecture, analytics, AI/ML, or similar technical fields.

• 5+ years of experience architecting cloud-native data platforms using Azure, AWS, or GCP.

• Extensive experience with Databricks, Lakehouse architectures, and modern ELT/ETL tools.

• Strong comprehension of distributed systems, real-time data streaming, data governance, and API/integration architectures.

• Proven ability to design and implement enterprise-scale data architecture solutions.

• Excellent stakeholder management, communication, and executive engagement skills.

• Experience with SAP S/4HANA integrations, manufacturing data, or aerospace and defense environments.

• Practical 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.

• Demonstrated ability to drive modernization, cloud migration, or digital transformation initiatives.

🏝️ 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

• Employee referral award may be available

• Remote work primarily from home