Senior Data & AI Platform Engineer

Armanino

. Own Azure DevOps pipelines (YAML or classic) for data/AI workloads (Fabric/Synapse, ADF, Databricks, APIs), infrastructure automations, and Dynamics/Power Platform ALM.

Posted 5/1/2026full-timeSan Ramon • California, Illinois, Pennsylvania, Texas, Utah • 🇺🇸 United StatesSenior💰 $132,100 - $178,700 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPythonVault

About the role

Key responsibilities & impact

Own Azure DevOps pipelines (YAML or classic) for data/AI workloads (Fabric/Synapse, ADF, Databricks, APIs), infrastructure automations, and Dynamics/Power Platform ALM.
Implement environments, approvals, variable groups, artifact/versioning, rollback strategies, and Key Vault integration.
Establish branching & PR policies, quality gates, and reusable pipeline templates/runbooks that reduce toil and cycle time.
Lead landing zone and environment strategy across subscriptions/resource groups (naming, tagging, policies/guardrails).
Oversee networking & connectivity (VNets, Private Endpoints, Firewall, hybrid links), identity & access (Entra ID, RBAC, PIM, Conditional Access), and platform services (Storage/ADLS, Key Vault, Event Hub, Functions, API Management).
Drive observability (Azure Monitor, Log Analytics, App Insights, KQL), SLOs/error budgets, alert hygiene, and incident response/postmortems.
Partner with Finance on FinOps by providing technical usage insights, budgets/alerts, and optimization data, without owning reconciliation.
Drive adoption of Microsoft Cloud assets with a focus on best-practice implementation and long-term scalability.
Architect secure patterns for Microsoft Fabric/Synapse/Lakehouse, ADF orchestration, and Databricks (jobs, clusters, secrets).
Enable ML/AI/GenAI delivery: model/package promotion, MLOps (MLflow/registry), AI Search/vector stores, Azure OpenAI integration, and data protection (PII, RLS/CLS).
Perform design reviews with Data Engineering and Analytics to ensure performance, resiliency, and governance.
Own CSP technical and support operations across all Microsoft Cloud subscriptions: Azure, Microsoft 365, Dynamics 365, Power Platform, and Security/Compliance.
Manage customer/tenant onboarding to our customer-facing CSP portal, licensing setup, and subscription lifecycle support in Partner Center.
Implement secure access patterns (GDAP, Azure & M365 Lighthouse, delegated administration) and maintain least-privilege controls.
Build and maintain operational runbooks, automation, and monitoring for CSP activities via Partner Center APIs and tools.
Provide technical insights to Finance for cost visibility and optimization but leave billing/reconciliation to Finance.
Support customer trust through incident handling, audit readiness, and compliance with Microsoft program requirements.
Ensure correct CPOR, DPOR, and PAL associations are set up for all client-facing environments, working closely with Armanino's Sales teams, internal Microsoft Program Manager and AI Practice lead to guarantee accurate partner attribution for Microsoft incentives and compliance.
Maintain leadership on Dynamics 365 & Power Platform ALM: solution control, environment strategy (dev/test/uat/prod/sandbox), wave planning, and Synapse Link/Fabric integration guardrails.
Align change management with business cadence and coach systems engineering on day-to-day execution.
Implement automation strategies to enhance efficiency across Dynamics products.
Manage the Cloud & AI Platform Engineer (prioritization, growth, and delivery outcomes).
Coach Systems Engineering on SOPs/runbooks, reliability engineering, and continuous improvement.
Lead operational reviews; set goals for deployment success rate, MTTR, and automation coverage.
Own the strategy and governance for all lab and development environments across Microsoft Cloud services, ensuring secure access, compliance with policies, and alignment to enterprise guardrails.
Implement controls for isolation, least-privilege, cost containment, and lifecycle management of non-production environments.

Requirements

What you’ll need

Minimum 7 years in Microsoft Cloud platform/DevOps/infra roles, including hands-on Azure DevOps pipelines and environment management.
Minimum 3 years enabling data/analytics platforms (Fabric, Synapse, ADF, Databricks) and securing data workloads (ADLS, Key Vault, RLS/CLS).
Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI integration, or MLOps).
Strong Microsoft Cloud security & governance: Entra ID, RBAC, PIM, Conditional Access, network isolation, and policy/guardrails.
Practical Partner Center & CSP technical operations experience across all Microsoft Cloud subscriptions: Azure, Microsoft 365, Dynamics 365, and Power Platform.
Familiarity with GDAP, Azure & M365 Lighthouse, subscription lifecycle, delegated administration, and Partner Center APIs.
Observability & incident management with Azure Monitor/Log Analytics/KQL.
Scripting/automation with PowerShell (Python a plus).
Excellent cross-functional leadership, stakeholder communication, and team coaching.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Azure DevOpsYAMLDatabricksADFMLOpsKQLPowerShellAI SearchAzure OpenAIData protection

Soft Skills

cross-functional leadershipstakeholder communicationteam coachingincident responsechange managementcontinuous improvementoperational reviewsgoal settingcollaborationcoaching