Senior AI Data Platform Architect

3Pillar Global, Inc.; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance

AD&D Insurance

Unlimited PTO

Paid parental leave

401K

12 holidays

Job summary

3Pillar Global, Inc. is seeking an AI Data Architect to design, govern, and evolve a unified data platform that powers AI initiatives across our organization. You will own data contracts, ensure secure access, and monitor AI outputs while enabling scalable, AI-ready architectures.

Applicants should bring 15+ years in data engineering, experience with Databricks/Snowflake, and a track record delivering enterprise-grade data platforms for multiple AI consumers.

Qualifications

• 15+ years of hands-on data engineering and architecture experience.
• Strong Experience with either Databricks or Snowflake; experience with both is desirable.
• Strong data architecture patterns and principles for secure, scalable data lakes and warehouses.
• Expertise in designing and writing ETL processes in Python/ Java/ Scala.
• Own the full data stack: streaming, batch, cloud storage and compute, data quality.

Responsibilities

• Design and own the enterprise AI data platform and its contracts.
• Define multi-domain data models for AI workloads.
• Architect data pipelines, dashboards, and insights for AI initiatives.
• Drive modernisation of legacy pipelines to cloud-native architectures.
• Establish AI data platform standards, patterns, and ADRs.

Skills

Data architecture

Python

SQL

ETL design

LLMOps

Tools

Snowflake

Databricks

AWS

Kubernetes

Terraform

GitHub Actions

LangChain

LlamaIndex

OpenAI

Job description

3Pillar Global, Inc. is seeking an AI Data Architect to design, govern, and evolve a unified data platform that powers AI initiatives across our organization. You will own data contracts, ensure secure access, and monitor AI outputs while enabling scalable, AI-ready architectures.

Applicants should bring 15+ years in data engineering, experience with Databricks/Snowflake, and a track record delivering enterprise-grade data platforms for multiple AI consumers.