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Commit

Senior Data & AI Solution Architect

Commit

. Own end-to-end solution architecture for data, analytics, and AI use cases .

Posted 10/21/2026full-timeRemote • UkraineSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates extensive expertise in solution architecture for data, analytics, and AI, with a strong focus on Azure-based platforms, enterprise security, and compliance. Proven ability to translate business needs into technical designs and lead hands-on prototyping and architecture reviews.

Highest-signal resume keywords
Solution ArchitectureAzure Data PlatformsPower BI ArchitectureEnterprise SecurityMicrosoft Certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Lake ArchitectureDimensional Data ModelingDAXPower QuerySQLAzure OpenAIRetrieval-Augmented PatternsBI ArchitecturePerformance OptimizationEnterprise Reporting Patterns
Soft Skills
LeadershipCollaborationProblem-SolvingCommunication
Tools & Technologies
Azure Data FactoryDatabricksMicrosoft FabricAzure DevOpsGitHub EnterpriseCI/CDMicrosoft EntraPurviewKey VaultAzure AI Foundry
Certifications & Qualifications
Microsoft Azure CertificationPower BI CertificationData Architecture CertificationAI Architecture Certification
Industry Keywords
Life SciencesPharmaceuticalsRegulated IndustriesGovernanceCompliance

Tech Stack

Tools & technologies
AzureSQLVault

About the role

Key responsibilities & impact
  • Own end-to-end solution architecture for data, analytics, and AI use cases
  • Ensure design quality, security, scalability, supportability, and cost accountability
  • Translate business needs into technical designs, target architectures, integration patterns, and implementation guidance
  • Lead hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams
  • Build security, governance, compliance, and operational readiness into solutions from design through production deployment

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms
  • 5+ years of strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling
  • Strong experience with enterprise security, governance, and compliance
  • Ability to work effectively with enterprise architects and guiding or regulatory functions
  • Experience designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns
  • BI/analytics architecture experience with Power BI or a similar enterprise BI technology
  • Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns
  • Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns
  • Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions
  • Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault
  • Experience in life sciences, pharmaceuticals, or other regulated industries
  • Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture