Flexible Data & AI Platform Engineer - Cloud Analytics & BI

Armanino LLP; Northern (KY); Hybrid; USD 105,000 - 143,000; Full time

Job summary

Armanino LLP is seeking a Data & AI Platform Engineer to build, operate, and improve cloud data/analytics platforms (Snowflake, Databricks, Fabric) and support BI delivery (Power BI, Tableau). You will contribute to platform reliability, CI/CD, runbooks, security and governance while learning from senior engineers and aligning with accounting industry needs.

Location options include multiple U.S. cities with an emphasis on hands‑on platform operations, scripting, and problem solving in a

Qualifications

• Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role.
• Minimum 1 year of representative accounting experience.
• Familiarity with Snowflake, Fabric, or Databricks and Power BI or Tableau.
• Basic scripting in Python or PowerShell; Git and CI/CD concepts.
• Understanding of SQL and performance basics; data governance concepts.

Responsibilities

• Platform Operations & Enablement: support day-to-day operations, environment hygiene, and guardrails.
• DevOps & Deployment Support: contribute to CI/CD workflows and deployment templates.
• Data/Analytics Tooling Support: onboarding across Fabric/Snowflake/Databricks and BI tools.
• Reliability, Monitoring, and Runbooks: build runbooks and assist incident response.
• Security & Governance: follow least-privilege access and data governance basics.

Skills

Data engineering

Platform engineering

Analytics engineering

Cloud operations

CI/CD concepts

Python

PowerShell

SQL

Data governance

Git

Tools

Snowflake

Microsoft Fabric

Databricks

Power BI

Tableau

CI/CD templates

Job description

Armanino LLP is seeking a Data & AI Platform Engineer to build, operate, and improve cloud data/analytics platforms (Snowflake, Databricks, Fabric) and support BI delivery (Power BI, Tableau). You will contribute to platform reliability, CI/CD, runbooks, security and governance while learning from senior engineers and aligning with accounting industry needs.

Location options include multiple U.S. cities with an emphasis on hands‑on platform operations, scripting, and problem solving in a