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AAA Club Alliance

Automotive membership and travel services

Enterprise Data Architect

Full-TimeUpdated on 10/23/2026Deadline 11/13/26
$160.2k - $213.6k
Expert
Bachelor's, Master's
Remote in USA
RemoteRemote work is available in the United States except Hawaii and Alaska.
Data & AnalyticsData Management
No H1B Sponsorship

About the job

Requirements
  • A bachelor's or master's degree in computer science, engineering, information systems, data science, or a related field, or equivalent professional experience.
  • At least 10 years in enterprise architecture, data architecture, solution architecture, or related roles, including at least 5 years in an enterprise or domain architect capacity.
  • At least 4 years designing enterprise data, cloud, or AI architectures at scale.
  • At least 3 years of experience with Palantir Foundry and AIP, including ontology design and governance.
  • Deep expertise in enterprise data modeling (conceptual, logical, and semantic), ontology and 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 SageMaker; sufficient Python and SQL fluency to evaluate designs and review implementations.
  • Experience architecting AI/ML, generative AI, retrieval-augmented generation, and agentic AI solutions, including governance and responsible AI controls.
  • Working knowledge of data governance frameworks, regulatory and privacy requirements, and security architecture.
  • Familiarity with TOGAF, ArchiMate, or comparable enterprise architecture frameworks and tooling.
  • Proven ability to influence senior technology and business leaders and communicate architecture decisions to executive audiences.
  • Experience leading architecture governance forums and driving alignment across domains and delivery teams.
  • Strong systems thinking and the ability to balance strategic direction with pragmatic delivery constraints.
  • Ability to mentor solution architects and establish architecture standards and practices.
  • Strong collaboration across architecture, engineering, product, security, data governance, operations, and business teams.
  • Willingness to travel as needed for divisional, team, and other in-person meetings.
Responsibilities
  • Own the enterprise ontology strategy and architecture on Palantir Foundry/AIP, including 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, including Ontology, Pipeline Builder, Functions, Workshop, AIP Logic, and Agent Studio, and set guardrails for their use.
  • Establish how the ontology integrates with core systems of record for policy, billing, and claims, the enterprise data platform, and downstream applications.
  • Define architecture for AI, generative AI, 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 interoperability among Snowflake, Palantir, and AWS data services.
  • Provide architecture direction for AWS-based data and AI capabilities, including S3, Lambda, API Gateway, EventBridge, SQS/SNS, Step Functions, MSK, Bedrock, and SageMaker, focusing on patterns, security, resiliency, observability, and cost.
  • Define integration standards between the data platform, ontology layer, and enterprise applications.
  • Lead architecture reviews for data and AI initiatives, approve solution designs, and ensure alignment with enterprise standards and roadmaps.
  • Develop business cases, capability maps, and executive-level architecture narratives connecting 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.
Desired Qualifications
  • Experience leading Palantir platform adoption across multiple business domains is strongly preferred.
  • P&C insurance experience, including Guidewire or comparable core platforms, is strongly preferred.
  • Support employee resource groups, mentor employees, volunteer, or join cross-functional projects to shape company culture.
  • Help onboard new team members and build relationships by using cameras when it matters.
  • Demonstrate a company ownership mindset by thinking beyond the boundaries of one’s own area.
  • Fulfill business needs, which may include investing extra time or helping other teams.

About the company

AAA Club Alliance is a membership organization providing roadside assistance, automotive services, insurance, travel planning, financial products, and member discounts across its operating territory. It serves drivers, travelers, households, and businesses through digital channels, contact centers, local stores, car care locations, and affiliated service operations. The organization brings together several regional AAA clubs and trade names under a shared operating structure. Teams work across roadside service, automotive repair, insurance, travel, membership support, retail operations, financial services, technology, marketing, and corporate functions.

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