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Core Competencies
Role fitCore 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, security, governance, and compliance. Proven ability to translate business needs into effective technical designs and lead delivery teams through prototyping and implementation.
Highest-signal resume keywords
Solution ArchitectureAzure Data PlatformsPower BI ArchitectureEnterprise Security ComplianceMicrosoft AI Services
ATS Keywords
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Hard Skills
Data Lake ArchitectureDimensional Data ModelingSQLDAXPower QueryAzure Data FactoryDatabricksRetrieval-Augmented GenerationSemantic ModelsPerformance Optimization
Tools & Technologies
Azure DevOpsGitHub EnterpriseMicrosoft FabricPower BIAzure AI FoundryCopilot StudioAzure AI SearchMicrosoft EntraPurviewKey Vault
Certifications & Qualifications
Microsoft Azure CertificationPower BI CertificationData Architecture CertificationAI Architecture Certification
Industry Keywords
Life SciencesPharmaceuticalsRegulated IndustriesEnterprise DataAnalytics
Tech Stack
Tools & technologiesAzureSQLVault
About the role
Key responsibilities & impact- Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost
- Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance
- Lead hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams
- Ensure security, governance, compliance, and operational readiness 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
- 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 is advantageous, 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 is advantageous
- Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions is advantageous
- Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault is advantageous
- Experience in life sciences, pharmaceuticals, or other regulated industries is advantageous
- Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture are advantageous