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AAA

Data Solutions Architect

AAA

. Lead strategy and architecture for enterprise data, ontology, and AI platforms .

Posted 10/16/2026full-timeRemote • United StatesSeniorLead💰 $160,155 - $213,550 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise data architecture, ontology governance, and AI platform strategy, with a strong focus on integrating cloud solutions and ensuring data quality and security. Proven ability to lead architecture reviews, influence stakeholders, and mentor teams in adopting best practices across various domains.

Highest-signal resume keywords
Enterprise ArchitectureData ArchitectureOntology GovernanceAWS Cloud SolutionsPalantir Foundry

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingOntology DesignAI/ML ArchitecturePython FluencySQL FluencyEvent-Driven IntegrationAPI-Based IntegrationData Governance FrameworksData Mesh PatternsDomain-Driven Design
Soft Skills
Influencing Senior LeadersCollaboration Across TeamsMentoring Solution ArchitectsSystems ThinkingCommunication Skills
Tools & Technologies
PalantirSnowflakeKafka/MSKSageMakerBedrockAWS S3AWS LambdaAPI GatewayEventBridgeStep Functions
Certifications & Qualifications
Bachelor's DegreeMaster's DegreeTOGAF CertificationArchiMate Certification
Industry Keywords
P&C InsuranceGuidewireData Privacy RequirementsRegulatory ComplianceEnterprise Data Platforms

Tech Stack

Tools & technologies
AWSCloudGuidewireKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Lead strategy and architecture for enterprise data, ontology, and AI platforms
  • Establish scalable standards and solutions across Palantir, Snowflake, and AWS
  • Own enterprise Ontology strategy and architecture on Palantir Foundry/AIP
  • Define object models, semantic standards, domain ownership, and Ontology governance
  • Define reference architectures and usage patterns for Foundry and AIP capabilities
  • Establish Ontology integration with policy, billing, claims, enterprise data platforms, and downstream applications
  • Define architectures for AI, GenAI, and Agentic workflows using LLM/RAG patterns, agent boundaries, human-in-the-loop controls, and Responsible AI requirements
  • Define data architecture target state, roadmap, conceptual and logical data models, domain boundaries, data products, and data mesh/lakehouse patterns
  • Set standards for data integration, APIs, and event-driven patterns across Snowflake, Kafka/MSK, and Palantir
  • Establish data governance, lineage, metadata, quality, privacy, and security requirements
  • Rationalize the data and analytics platform portfolio and define interoperability across Snowflake, Palantir, and AWS
  • Provide architecture direction for AWS data and AI capabilities, including S3, Lambda, API Gateway, EventBridge, SQS/SNS, Step Functions, MSK, Bedrock, and SageMaker
  • Define integration standards between the data platform, ontology layer, and enterprise applications
  • Lead architecture reviews for data and AI initiatives and approve solution designs
  • Develop business cases, capability maps, and executive-level architecture narratives
  • Guide infrastructure and engineering leads and maintain reusable patterns, principles, and architecture decision records
  • Collaborate with business and product leadership to create a prioritized architecture roadmap
  • Travel as needed for divisional, team, and other in-person meetings

Requirements

What you’ll need
  • 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
  • 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, ontology/knowledge graph concepts, data mesh, data products, and domain-driven design
  • Strong 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, 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
  • Familiarity with TOGAF, ArchiMate, or comparable enterprise architecture frameworks and tooling
  • 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 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
  • Palantir platform adoption experience across multiple business domains strongly preferred
  • P&C insurance experience, such as Guidewire or comparable core platforms, strongly preferred
  • Must be authorized to work indefinitely in the United States
  • CSAA does not provide visa sponsorship

Benefits

Comp & perks
  • Annual bonus eligibility; annual discretionary bonus through the Annual Incentive Plan (AIP) of up to 12% of eligible pay
  • 401(k) with a company match
  • Career growth and development opportunities
  • Leadership and mentorship support
  • Remote-first Flexible Workplace / Home-Flex work primarily from home
  • Flexibility to work from various locations, including CSAA offices
  • Inclusive and welcoming workplace
  • Employee resource groups, mentoring, volunteering, and cross-functional project opportunities
  • Reasonable accommodations for qualified applicants and employees with disabilities or other limitations