Description

· Design and deliver end-to-end architectures across front-end, back-end, data platforms, APIs, and Azure in-frastructure.
· Build code, prototypes, and reference implementations across application, data, and AI layers.
· Lead Databricks data and analytics solution design, including pipelines, lakehouse architecture, and applica-tion-service integration.
· Design secure and scalable AI-enabled solutions using RAG, Databricks Genie, conversational interfaces, and LLM integration.
· Ensure performance, scalability, cost optimization, security, governance, HIPAA, SOC 2, enterprise standards, and CISO directives.

Generic Managerial Skills, If any
• Lead architecture and design sessions and provide clear technical direction.
•` Partner with Engineering, Product, CloudOps, Security, and IT teams.
• Translate complex technical concepts into business value.
• Mentor team members and promote engineering excellence and best practices.
• Influence stakeholder decisions and drive adoption of modern engineering practices.

Key Words to search in Resume
• Senior Solutions Architect; hands-on architect; cloud-native architecture; enterprise architecture.
• Angular; .NET; C#; APIs; full-stack applications; Microsoft Azure.
• Databricks; Spark; Delta Lake; lakehouse; data pipelines; data engineering.
• RAG; LLM integration; Databricks Genie; conversational analytics; AI-enabled solutions.
• Terraform; Pulumi; CI/CD; Infrastructure as Code; event-driven architecture; distributed systems; HIPAA; SOC 2

Key Skills

Education

Bachelor's degree