Azure Data & AI Architect

Candidate Description

Specialising in enterprise data architecture and AI-driven analytics, this professional brings over 13 years of experience delivering transformative platforms across capital markets, retail banking, automotive and mining sectors. Adept at orchestrating Azure, Databricks, Snowflake and Microsoft Fabric ecosystems, they couple deep technical expertise with strategic vision to establish single sources of truth and unlock advanced insights for clients such as a Technology Provider, a Major Banking Corporation, a Financial Institution and another Major Banking Corporation.

Their technical acumen is demonstrated through end-to-end delivery of lakehouse solutions, metadata-driven ELT frameworks and AI-enabled data products. Leveraging tools including Azure Synapse Analytics, Data Factory, Logic Apps, Power BI and PySpark, they have integrated 25+ disparate source systems – spanning SAP S/4HANA, Oracle and Dynamics 365 – into unified analytics layers. Notable achievements include pioneering conversational AI agents with Azure AI Foundry and Copilot Studio, and developing reusable accelerators that significantly reduced project TCO and accelerated time-to-value.

Complementing their hands-on expertise, they excel in leadership and stakeholder engagement, routinely mentoring teams, translating business goals into actionable user stories and enforcing robust governance and security standards. Certified in Azure AI Engineering, Snowflake and Databricks, they embody continuous improvement and adaptability, offering employers a results-oriented architect capable of guiding complex data programmes from conception to real-world impact.