Senior Data & AI Platform Engineer

## Senior Data & AI Platform Engineer Apply locations:
San Ramon, California:
Salt Lake City, Utah:
Chicago, Illinois:
Philadelphia, Pennsylvania:
Dallas, Texastime type:
Full time posted on:
Posted Yesterday job requisition :
JR104190

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 t’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 a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery infrastructure (e.g., Power BI, Tableau). You set the standards for platform reliability, CI/CD, environment design, security, and governance, and you carry those standards through to production. You work independently, make architecture calls, and own the outcome.
** Job Responsibilities
**** Platform Architecture & Operations
*** Own the design and day-to-day operation of cloud data platforms: workspace and project architecture, access models, capacity planning, configuration standards, and troubleshooting.
* Define and enforce platform standards: naming and tagging conventions, access patterns, cost management, and environment separation.
* Drive platform maturity: identify structural gaps, propose the fix, and implement it without waiting to be told.
** Dev Ops & Deployment
*** Design, build, and own CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), including branching strategy, promotion, approvals, and rollback.
* Establish reusable templates, checklists, and release documentation that the rest of the team deploys against.
* Set the deployment bar and hold the team to it through review and automation.
** Data & Analytics Platform Leadership
*** Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a BI tool (Power BI or Tableau), and provide working depth across the others.
* Lead onboarding and enablement for engineering and client teams: patterns, guardrails, and reusable solutions rather than one-off answers.
* Own performance: diagnose and resolve query, job, refresh, and capacity issues, and design the platform so they stop recurring.
** Reliability, Monitoring & Incident Response
*** Own platform reliability. Design monitoring and alerting, set SLOs where they matter, and reduce operational toil.
* Build and maintain the runbook library (standard operating procedures, known issues, escalation paths) and keep it current.
* Lead incident response: drive triage, own the resolution, run the post-incident review, and land the preventative fix.
** Security & Governance
*** Define and enforce least-privilege access and secure secret handling (e.g., Key Vault, secret scopes) across environments.
* Own data governance in practice: PII handling, row- and column-level security, and environment separation, aligned to firm and client policy.
* Review the work of other engineers for security and governance before it reaches clients.
** Requirements
* ** Minimum 6 years in data engineering, platform engineering, analytics…