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Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Own the end-to-end architecture and delivery of ENFRA’s Modern Data and AI platform
- Translate enterprise data and AI strategy into a production-ready, scalable, and secure platform supporting analytics, reporting, and AI agents
- Define and evolve platform reference architecture across ingestion, landing, standardization, curation into Snowflake marts, semantic layers, AI integration, and consumption patterns
- Partner with application teams to ensure reliable, observable pipelines with defined SLAs/SLOs, lineage, and quality checks
- Architect platform-level capabilities supporting applied AI, generative AI, and agent-enabled workflows
Requirements
What you’ll need- 10+ years of overall experience
- 7+ years in enterprise cloud data platform architecture
- 5+ years of leadership experience
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong command of Snowflake architecture, security and access patterns, governance controls, and cost/performance optimization
- Experience with Azure-based lakehouse landing patterns, including Microsoft Fabric and OneLake
- Strong understanding of data architecture, semantic modeling, analytics consumption, and AI integration
- Excellent executive communication skills
Benefits
Comp & perks- Health insurance
- Retirement plans
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architectureAI integrationSnowflake architectureanalytics consumptionsemantic modelingcost/performance optimizationAzure-based lakehouseMicrosoft FabricOneLakepipeline reliability
Soft Skills
leadershipexecutive communication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering
