Remote Enterprise Data Architect — AI & Palantir

CSAA Insurance Group

Fulton (MS)

Remote

USD 160,000 - 214,000

Full time

5 days ago
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Job summary

CSAA Insurance Group is seeking an Enterprise Data Architect to lead architecture for data, ontology, and AI platforms. You will establish scalable standards across Palantir Foundry/AIP, Snowflake, and AWS, partnering with leaders to define architecture roadmaps that enable secure, governed data use and AI solutions.

You will define reference architectures, govern Ontology integration with core systems, and drive AI/GenAI patterns with Responsible AI controls, while mentoring architects and

Qualifications

  • 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 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.
  • Proven ability to influence senior technology and business leaders and to 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.

Responsibilities

  • Ontology & Palantir Platform Architecture: Own the enterprise Ontology strategy and architecture on Palantir Foundry/AIP, including object model design and governance of Ontology evolution.
  • Data Architecture: Define target state for data models, data mesh patterns, data products, and platform interoperability across Snowflake, Palantir, and AWS data services.
  • Cloud & Enterprise Integration: Guide AWS-based data and AI patterns (S3, Lambda, API Gateway, EventBridge, MSK, Bedrock, SageMaker) with secure, cost-effective design.
  • Architecture Leadership: Lead Architecture Review for data/AI initiatives; develop executive-grade narratives and roadmaps.
  • Governance & Collaboration: Drive architecture governance forums, align across domains, and mentor delivery teams.

Skills

Enterprise Architecture
Data Architecture
Solution Architecture
Domain Architecture
Executive Communication
Mentoring
Leadership

Education

Bachelor's or Master's in CS/Engineering/Info Systems

Tools

Palantir Foundry
Palantir AIP
Snowflake
Kafka/MSK
SageMaker
Bedrock
AWS

Job description

CSAA Insurance Group is seeking an Enterprise Data Architect to lead architecture for data, ontology, and AI platforms. You will establish scalable standards across Palantir Foundry/AIP, Snowflake, and AWS, partnering with leaders to define architecture roadmaps that enable secure, governed data use and AI solutions.

You will define reference architectures, govern Ontology integration with core systems, and drive AI/GenAI patterns with Responsible AI controls, while mentoring architects and

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