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. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact.

Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Data Solutions Architect - Remote

We are seeking an Enterprise Data Architect 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.

• Own the enterprise Ontology strategy and architecture on Palantir Foundry/AIP: object model design, semantic standards, domain ownership, and governance of Ontology evolution across business domains.
• 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; approve solution designs and ensure alignment to enterprise standards and roadmaps.
• Develop business cases, capability maps, and executive-level architecture narratives that connect data and AI investments to business outcomes.
• Guide infrastructure and engineering leads; establish and maintain reusable patterns, principles, and architecture decision records.
• Collaborate with business and product leadership to translate strategy into a prioritized architecture roadmap.

• 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.
• 3+ years of experience with Palantir Foundry and AIP, including Ontology design and governance.
• 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.
• Architecture-level experience with Snowflake, Kafka/MSK, Spark, Bedrock, and Sage Maker; sufficient Python and SQL fluency to evaluate designs and review…