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Chicago, IL, USA
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Roles & Responsibilities
· 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. Pre-Screening Questionnaire • Do you have 7+ years of software engineering experience, including 5+ years in architecture or senior design roles? • Have you designed and built cloud-native full-stack solutions using Angular, .NET/C#, Databricks, APIs, and Microsoft Azure? • What hands-on experience do you have with Databricks, Spark, Delta Lake, lakehouse architecture, and data pipelines? • Have you implemented RAG architectures, LLM integrations, or Databricks Genie or similar conversational AI tooling? • Do you have experience with AP
Must Have Technical/Functional Skills
• 7+ years of software engineering experience, including 5+ years in architecture or senior design roles.
• Hands-on enterprise cloud-native solution architecture across Angular, .NET/C#, Databricks, APIs, and Microsoft
Azure.
• Databricks data engineering with Spark, Delta Lake, lakehouse architecture, and pipeline development.
• AI-enabled solution design using RAG architectures, LLM integration, and Databricks Genie or similar tooling.
•API design, event-driven architectures, distributed systems, CI/CD, Infrastructure as Code, automated testing, and
observability
Bachelor's degree
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