Data Solutions Architect - Remote

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties.

to lead the strategy and architecture for enterprise data, ontology, and AI platforms. This role will establish scalable standards and solutions across Palantir, Snowflake, and AWS, creating a strong semantic foundation for analytics, operational workflows, and AI solutions. You’ll partner with technology and business leaders to define architecture standards, patterns, and roadmaps that enable secure, governed, and cost-effective use of enterprise data.

• Define reference architectures and usage patterns for Foundry and AIP capabilities (Ontology, Pipeline Builder, Functions, Workshop, AIP Logic, Agent Studio) and set guardrails for when and how each is used.
• Establish how the Ontology integrates with core systems of record (policy, billing, claims), the enterprise data platform, and downstream applications.
• Define the architecture for AI, GenAI, and Agentic workflows grounded in the Ontology, including LLM/RAG patterns, agent boundaries, human-in-the-loop controls, and Responsible AI requirements.

• Define the data architecture target state and roadmap, including conceptual and logical data models, domain boundaries, data product standards, and data mesh/lakehouse operating patterns.
• Set standards for data integration, API, and event-driven patterns across structured and unstructured data, spanning Snowflake, Kafka/MSK, and the Palantir platform.
• Establish data governance, lineage, metadata, quality, privacy, and security requirements in partnership with Data Governance, Security, and Compliance.
• Rationalize the data and analytics platform portfolio and define platform interoperability (Snowflake, Palantir, AWS data services).

• Provide architecture direction for AWS-based data and AI capabilities (S3, Lambda, API Gateway, Event Bridge, SQS/SNS, Step Functions, MSK, Bedrock, Sage Maker), focusing on patterns, security, resiliency, observability, and cost.
• Define integration standards between the data platform, ontology layer, and enterprise applications.
• Lead the Architecture Review process for data and AI initiatives;
  Develop business cases, capability maps, and executive-level architecture narratives that connect data and AI investments to business outcomes.

• Bachelor's or master's degree in computer science, Engineering, Information Systems, Data Science, or a related field, or equivalent professional experience.
• 10+ years in Enterprise Architecture, Data Architecture, Solution Architecture, or related roles, with 5+ years in an enterprise or domain architect capacity.
• 4+ years designing enterprise Data, Cloud, or AI architectures at scale.
• Deep expertise in enterprise data modeling (conceptual, logical, semantic), ontology/knowledge graph concepts, data mesh and data product thinking, and domain-driven design.
• Strong architecture expertise with AWS, cloud-native patterns, event-driven and API-based integration, high availability, observability, and infrastructure as code.
• sufficient Python and SQL fluency to evaluate designs and review implementations.
• Experience architecting AI/ML, GenAI, RAG, and Agentic AI solutions, including governance and Responsible AI controls.
• Working knowledge of data governance frameworks, regulatory and privacy requirements, and security architecture.
• Ability to mentor solution architects and establish architecture standards and practices.
• Strong…