Remote Data Solutions Architect — AI & Cloud Platform Leader

CSAA Insurance Group; Rhode Island; À distance; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Annual bonus eligibility

401(k) with company match

Remote-first culture

Flexible workplace

Résumé du poste

CSAA Insurance Group is seeking a Data Solutions Architect to lead enterprise data strategy and architecture across Palantir Foundry, Snowflake, and AWS. The role focuses on ontology, AI platforms, data governance, and secure, scalable data solutions for analytics and business workflows.

You will partner with technology and business leaders to define standards, roadmaps, and governance, enabling responsible AI and cost-effective data use.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, information systems, data science, or equivalent.
• 10+ years in Enterprise/Data/Solution Architecture with 5+ years in architect capacity.
• 4+ years designing enterprise Data, Cloud, or AI architectures at scale.
• Deep expertise in data modeling, ontology/knowledge graphs, data mesh, and data products.

Responsabilités

• Define reference architectures for ontology, Foundry, AIP, and guardrails for use.
• Set integration standards across Snowflake, Palantir, AWS data services.
• Lead Architecture Review process for data/AI initiatives with business cases.
• Mentor solution architects and collaborate across multiple teams.

Connaissances

Python

SQL

AWS

Data modeling

Ontology

Knowledge Graph

Governance

Security

Leadership

Palantir Foundry

GenAI

Formation

Bachelor's or Master’s in CS/Engineering

Outils

Palantir Foundry

Snowflake

AWS

Kafka/MSK

SageMaker

Description du poste

CSAA Insurance Group is seeking a Data Solutions Architect to lead enterprise data strategy and architecture across Palantir Foundry, Snowflake, and AWS. The role focuses on ontology, AI platforms, data governance, and secure, scalable data solutions for analytics and business workflows.

You will partner with technology and business leaders to define standards, roadmaps, and governance, enabling responsible AI and cost-effective data use.