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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data & AI Platform Engineer job in San Ramon - **Company:** Armanino LLP - **Location:** San Ramon, CA, United States - **Experience:** Expert - **Salary:** $112,800.0 - $153,700.0 - **Contract:** Permanent contract - **Skills:** Accounting Systems, Artificial Intelligence, Business Analytics Applications, Data Analysis, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Database, Continuous Integration, Information Engineering, Data Governance, DevOps, Python (Programming Language), Windows PowerShell, Power BI, OpenAI, Cloud Services, Standard Sql, Search Technologies, Tableau (Software), Data Logging, Cloud Platform System, System Availability, Snowflake, Indexer, Git, Microsoft Fabric, AI Platforms, Data Analytics, Machine Learning Operations, Data Pipelines, Key Vault, Databricks - **Published:** October 8, 2026 - **Apply:** https://jobs.diversity.com/career/2519867/senior-data-ai-platform-engineer-california-ca-san-ramon ## About the Role 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., * Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud operations, with a track record of owning platforms in production. * Minimum 2 years of representative accounting experience, whether implementing accounting systems or working in direct accounting roles. * Deep, production-grade command of a cloud data platform: Snowflake (preferred), Microsoft Fabric, or Databricks, with working fluency across the others. * Strong command of a BI platform: Power BI or Tableau, including data modeling, security, and refresh architecture. * CI/CD ownership: Git, branching and PR discipline, and building pipelines, not just running them. * Solid scripting in Python or PowerShell. * Advanced troubleshooting: you break down ambiguous problems, gather evidence, decide, and communicate clearly to technical and non-technical audiences. * Strong SQL and performance skills: indexing and partitioning strategy, query plans, and capacity tuning. * Working command of cloud fundamentals: identity and access, resource organization, logging, and monitoring. * Clear technical writing: runbooks, standards, and architecture documentation others can follow. * Relevant certifications (Azure, Snowflake, Databricks, etc.) are a plus. * Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration, or MLOps) is a strong plus. ## Description 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. DevOps & 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., 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.