Data & AI Platform Engineer

armaninollp; San Ramon (CA); On-site; USD 95,000 - 135,000; Full time

Job summary

Armanino LLP in San Ramon, CA is seeking an early-career data/platform engineer to build, operate, and improve cloud data/analytics platforms (Snowflake, Fabric, Databricks) and support BI delivery (Power BI, Tableau). You will learn security, governance, and deployment automation from senior engineers.

You will contribute to CI/CD workflows, runbooks, and platform hygiene while gaining hands-on experience in incident response and governance practices in a collaborative environment.

Qualifications

• 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 any direct accounting roles. This is an important requirement.
• Cloud data platform experience: Snowflake, Microsoft Fabric, or Databricks.
• BI platforms experience: Power BI or Tableau.
• Understanding of CI/CD concepts (Git, branching/PRs, pipelines).
• Basic scripting capability in Python or PowerShell (or willingness to learn).
• Strong troubleshooting mindset and ability to document learnings (runbooks).
• Exposure to cloud concepts: identity/access, logging/monitoring.

Responsibilities

• Platform Operations & Enablement: manage workspace/project setup, access requests, basic configuration, troubleshooting.
• DevOps & Deployment Support: contribute to CI/CD workflows and maintain deployment templates/checklists.
• Data/Analytics Tooling Support: onboarding across Fabric/Snowflake/Databricks with BI tools.
• Reliability, Monitoring, and Runbooks: build/runbooks, incident triage, preventative improvements.
• Security & Governance: enforce least-privilege and data governance basics.

Skills

Data engineering

Platform engineering

CI/CD concepts

Scripting (Python/PowerShell)

Troubleshooting mindset

Documentation (runbooks)

AI/ML enablement basics

Tools

Snowflake

Microsoft Fabric

Databricks

Power BI

Tableau

Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work . We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

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.

Job 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 escalation 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 any direct accounting roles. Note this is an important requirement. Candidates that understand accounting systems will have a significant edge in pursuit of this role.
• Comfort with one or more of the following areas (not all):
• A cloud data platform: Snowflake (preferred) or 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: can 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 certs (Azure fundamentals, Snowflake, Databricks, etc)
• Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI integration, or MLOps).

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standardStart. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in emplo