Remote Data Solutions Architect for Enterprise AI & Ontology

CSAA; South Carolina; Remote; USD 160,000 - 214,000; Full time

Benefits offered by this job

Remote-first culture

Annual bonus eligibility

401(k) with company match

Career growth opportunities

Job summary

CSAA Insurance Group (CSAA IG) seeks an Enterprise Data Architect to lead data, ontology, and AI platform strategy across Palantir Foundry/AIP and AWS. You will establish standards, patterns, and roadmaps to enable secure, governed data use and scalable analytics.

Collaborate with senior leaders to translate strategy into a concrete architecture roadmap. You will direct architecture governance, guide data modeling, and promote reusable patterns while partnering with security, governance, and

Qualifications

• Bachelor's or Master's degree in computer science, engineering, information systems, data science, or related field, or equivalent experience.
• 10+ years in Enterprise/Data/Solution Architecture or related roles, with 5+ years in an enterprise/domain architect capacity.
• 4+ years designing enterprise Data, Cloud, or AI architectures at scale.

Responsibilities

• Define Ontology strategy and architecture for Palantir Foundry/AIP, ensuring governance and semantic standards across domains.
• Shape data architecture target state, data models, data mesh patterns, and interoperability across Snowflake, Palantir, and AWS.

Skills

Palantir Foundry

Ontology design

Data architecture

AWS cloud

Snowflake

Kafka/MSK

SageMaker

GenAI architectures

Responsible AI

Data governance

Education

CS/Engineering degree

Tools

Spark

Kubernetes

Python

Job description

CSAA Insurance Group (CSAA IG) seeks an Enterprise Data Architect to lead data, ontology, and AI platform strategy across Palantir Foundry/AIP and AWS. You will establish standards, patterns, and roadmaps to enable secure, governed data use and scalable analytics.

Collaborate with senior leaders to translate strategy into a concrete architecture roadmap. You will direct architecture governance, guide data modeling, and promote reusable patterns while partnering with security, governance, and