Data & AI Platform Engineer

At Armanino, you determine your career path. This means it’s possible to pursue challenges you are passionate about, in industries you care about. We are among the top 20 largest accounting and consulting firms in the nation and one of the best places to work. We offer a community of resources ready to support your ideas, build your skills, and expand your professional network. We encourage integrating all aspects of your life with your career, creating a unique work environment where your passions, work, and personal life can overlap.

About the role

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g., Power BI, Tableau). You’ll contribute to platform reliability, CI/CD, environment setup, and operational runbooks—while learning best practices in security, governance, and deployment automation from senior engineers.

Responsibilities

• Platform Operations & Enablement
  • Support day-to-day operations for cloud data platforms (workspace/project setup, access requests, basic configuration, troubleshooting).
  • Assist with platform hygiene: organizing environments, documenting standards, and improving repeatability.
  • Help implement and maintain guardrails (naming/tagging conventions, access patterns, basic cost awareness).
• DevOps & Deployment Support
  • Contribute to CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), under mentorship.
  • Help maintain reusable templates/checklists for deployments (approvals, promotion steps, rollback notes, release documentation).
• Data/Analytics Tooling Support
  • Assist teams with onboarding and “how-to” enablement across a core platform (Fabric or Snowflake or Databricks) plus a BI tool (Power BI or Tableau).
  • Support basic performance triage (query/job failures, refresh issues, common workspace capacity constraints) and escalate effectively when needed.
• Reliability, Monitoring, and Runbooks
  • Help build and maintain runbooks (standard operating procedures, known issues, quick fixes, escalation paths).
  • Participate in incident response support (triage, notes, follow-ups) and contribute to preventative improvements.
• Security & Governance
  • Follow and reinforce least-privilege access practices and secure secret handling (e.g., Key Vault/secret scopes where applicable).
  • Assist with data governance basics (PII handling expectations, row-level access concepts, environment separation).

Requirements

• Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count).
• Minimum 1 year of representative accounting experience, whether implementing systems or in direct accounting roles. This is an important requirement; candidates with accounting systems experience will have a significant edge.
• Comfort with one or more of the following areas (not all required):
  • A cloud data platform: Snowflake (preferred), Microsoft Fabric, or Databricks.
  • A BI platform: Power BI or Tableau.
  • CI/CD concepts (Git, branching/PRs, basic pipelines).
  • Basic scripting capability in Python or PowerShell (or willingness to learn quickly).
• Strong troubleshooting mindset: ability to break problems down, gather evidence, and communicate clearly.
• Ability to document what you learned (runbooks, checklists, short “how-to” guides).
• Exposure to cloud concepts: identity/access, resource organization, logging/monitoring.
• Familiarity with SQL and performance basics (indexes/partitioning concepts, query plans at a high level).
• Understanding of data governance concepts (PII, RLS/CLS, environment separation).
• Any relevant certifications (Azure fundamentals, Snowflake, Databricks, etc.).
• Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI integration, or MLOps).

Benefits

• Medical, dental, and vision coverage.
• Generous PTO plan and paid sick time.
• Flexible work arrangements.
• 401K with profit sharing.
• Wellness program.
• Generous parental leave.
• 11 paid holidays.

Pay

Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

• Colorado residents: $91,300 - $124,400.
• Washington, Illinois, New York, and Southern California residents: $100,400 - $136,900.
• Northern California residents: $105,000 - $143,000.