Platform Engineer: Enterprise Data & AI Platform

The Phoenix Group; Boise (ID); On-site; USD 120,000 - 180,000; Full time

Job summary

The Phoenix Group in Boise, Idaho seeks a Platform Engineer to manage and evolve the enterprise data platform. You will oversee cloud data warehouses, design scalable data ingestion, and advance AI-enabled analytics capabilities.

You will collaborate with data owners and engineering teams to onboard data sources, establish ingestion standards, and ensure data lineage while maintaining security and reliability across multi-cloud environments.

Qualifications

• Bachelor’s degree in a technical field; Master’s preferred.
• 5+ years in data engineering or enterprise BI with cloud data warehouses at scale.
• Hands-on experience with multi-account cloud environments and access security.

Responsibilities

• Administer the enterprise cloud data warehouse, managing access, roles, and security policies.
• Monitor performance, security, reliability, and cost while maintaining SLAs.
• Design and maintain scalable data pipelines (CDC, ETL/ELT, API, batch ingestion).
• Develop curated datasets, semantic views, and data models for BI and AI apps.
• Collaborate with data owners and analytics teams to onboard sources and maintain lineage.
• Assist deployment and monitoring of AI-enabled solutions (LLMs, AI agents).
• Contribute to semantic layers, knowledge graphs, and ontology initiatives for AI querying.
• Create and maintain platform architecture/docs; support technical and business users.
• Evaluate emerging data platform features and drive practical adoption.

Skills

SQL

Python

Bash

ETL/ELT

Data governance

CI/CD

DevOps

Multi-cloud

Communication

Education

Bachelor’s degree in Computer Science or Information Systems

Master’s degree preferred

Tools

Snowflake

Redshift

Fivetran

Matillion

dbt

Postman

Snowflake Cortex

Tableau/Power BI

Job description

The Phoenix Group in Boise, Idaho seeks a Platform Engineer to manage and evolve the enterprise data platform. You will oversee cloud data warehouses, design scalable data ingestion, and advance AI-enabled analytics capabilities.

You will collaborate with data owners and engineering teams to onboard data sources, establish ingestion standards, and ensure data lineage while maintaining security and reliability across multi-cloud environments.