Data & AI Platform Engineer

Early-Career Engineering Role

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.

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 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 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 employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Armanino has a robust offering of benefits, including:

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

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

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