• Evaluate new Microsoft Azure and Databricks platform capabilities and determine their suitability for enterprise adoption.
• Design and execute proof-of-concepts (POCs) to assess scalability, security, governance, operability, and business value.
• Build integrations and reusable frameworks leveraging APIs, platform services, and automation tooling.
• Collaborate with platform engineering teams to define technical standards, best practices, and adoption recommendations.
• Analyze emerging capabilities related to data governance, observability, AI-assisted operations, and platform automation.
• Develop technical documentation, decision frameworks, and architecture recommendations for stakeholders.
• Contribute to platform modernization initiatives by identifying opportunities to improve operational efficiency, reliability, and developer experience.
• Leverage AI-assisted engineering tools such as GitHub Copilot to accelerate experimentation and platform development.