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 PlatformsEnterprise SecurityPower BI ArchitectureMicrosoft Certifications

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureDimensional Data ModelingSQLDAXPower QueryAzure Data FactoryDatabricksRetrieval-Augmented GenerationCI/CD for Data SolutionsPerformance Optimization

Soft Skills

LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

Azure AI FoundryCopilot StudioAzure AI SearchMicrosoft FabricAzure DevOpsGitHub EnterpriseMicrosoft EntraPurviewKey Vault

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 to meet organizational standards and control requirements
Experience designing solutions with Azure OpenAI and retrieval-augmented generation (RAG) patterns
BI/analytics architecture experience with Power BI or a similar enterprise BI technology
Deep hands-on Power BI architecture expertise, 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