Azure Delivery Lead

Position Overview We are seeking a Principal Data Architect with 15 20+ years of deep technology leadership experience to drive the enterprise Snowflake and Azure Data Cloud roadmap for global Financial Services operations. The ideal candidate will combine elite hands-on expertise in Snowflake on Azure with cutting-edge knowledge of Agentic AI -leveraging AI agents to modernize Data Engineering, streamline the SDLC, and orchestrate enterprise data pipelines. Key Responsibilities Enterprise Architecture & Strategy: Shape and execute the multi-year enterprise Azure-Snowflake roadmap, architecture blueprints, data modeling standards, and cloud migration strategies.



Agentic AI & Data Engineering Integration: Design and deploy AI Agents and autonomous workflows for Data Engineering (e.g., Snowflake Cortex AI, Cortex Search/Analyst, automated SQL generation, and intelligent data pipeline orchestration).



Agentic SDLC Optimization: Implement AI-driven automation across the Software Development Life Cycle (automated code validation, intelligent CI/CD pipelines, automated data quality checks, and AI-driven documentation).



Azure Cloud Data Architecture: Lead end-to-end integration of Snowflake within the Microsoft Azure ecosystem (Azure Data Factory, Azure AD/Entra ID, Azure Blob/ADLS, Azure Event Hubs).



Migration & Governance: Oversee complex enterprise migrations from legacy data warehouses to Azure Snowflake, ensuring strict compliance, Role-Based Access Control (RBAC), and FinOps cost optimization.



Technical Leadership & Client Stakeholder Engagement: Act as the primary strategic advisor to enterprise leadership, translating complex business demands into scalable, resilient cloud data architectures.

Required Qualifications & Experience Total Experience: 15 to 20+ years in IT, Data Engineering, and Enterprise Software Architecture.



Architectural Leadership: 7+ years as a Principal/Lead Data Architect designing enterprise-grade Snowflake data warehouses on Microsoft Azure .



Agentic AI & Automation: Demonstrated hands-on experience or architecture leadership in Agentic AI , LLM orchestration frameworks (LangChain, LlamaIndex, AutoGen), and Snowflake Cortex AI .



Modern Data Stack: Expertise in dbt, Azure Data Factory (ADF), PySpark, Python, SQL, and automated data pipeline frameworks.



SDLC & DevOps: Proven track record of automating data delivery pipelines, CI/CD for data applications, and embedding AI tooling into standard engineering practices.



Domain Knowledge: Prior experience in Financial Services, Banking, or Large-Scale Enterprise Transactional Data environments is strongly preferred.

For applications and inquiries, contact:View email address on us.fitly.work