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Armanino

Senior Data & AI Platform Engineer

Armanino

. Architect, operate, and continuously improve cloud data and analytics platforms such as Microsoft Fabric, Snowflake, and Databricks .

Posted 10/6/2026full-timeUnited StatesSenior💰 $112,800 - $176,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and operating cloud data platforms, with a strong focus on data governance, CI/CD workflows, and BI delivery infrastructure. Proficient in troubleshooting, technical documentation, and leading cross-functional teams in data engineering and analytics.

Highest-signal resume keywords
Cloud Data Platform ExpertiseBI Platform ProficiencyCI/CD Workflow OwnershipAdvanced SQL SkillsData Governance Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SnowflakeMicrosoft FabricDatabricksPower BITableauPythonPowerShellSQLCI/CDData Modeling
Soft Skills
Advanced TroubleshootingTechnical Communication
Tools & Technologies
GitMonitoring ToolsRunbooksArchitecture Documentation
Certifications & Qualifications
Azure CertificationSnowflake CertificationDatabricks Certification
Industry Keywords
Data EngineeringPlatform EngineeringAnalytics EngineeringCloud OperationsAccounting Systems

Tech Stack

Tools & technologies
AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Architect, operate, and continuously improve cloud data and analytics platforms such as Microsoft Fabric, Snowflake, and Databricks
  • Own BI delivery infrastructure such as Power BI and Tableau
  • Design workspace and project architecture, access models, capacity planning, configuration standards, and troubleshooting processes
  • Define and enforce naming, tagging, access, cost-management, and environment-separation standards
  • Identify platform gaps and implement structural improvements
  • Design and own CI/CD workflows for data and analytics assets, including branching, promotion, approvals, and rollback
  • Establish reusable deployment templates, checklists, and release documentation
  • Serve as technical authority across a core data platform and BI tool
  • Lead onboarding and enablement for engineering and client teams
  • Diagnose and resolve query, job, refresh, and capacity issues
  • Design monitoring and alerting, set SLOs, and reduce operational toil
  • Build and maintain runbooks, standard operating procedures, known issues, and escalation paths
  • Lead incident response, post-incident reviews, and preventative fixes
  • Define and enforce least-privilege access and secure secret handling
  • Own data governance including PII handling, row- and column-level security, and environment separation
  • Review other engineers' work for security and governance before client delivery

Requirements

What you’ll need
  • 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 and ability to communicate with 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 such as Azure, Snowflake, or Databricks are a plus
  • Hands-on AI/ML/GenAI enablement experience is a strong plus

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
  • Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules