Senior Solutions Architect - Azure, Angular, .NET

Job Description: Senior Solutions Architect - Azure Databricks & GenAI

Location: Chicago IL 60607

Position Overview

We are seeking a hands-on Senior Solutions Architect with strong experience designing and implementing enterprise-scale cloud-native applications across front-end development back-end services data platforms APIs and Microsoft Azure infrastructure.

The ideal candidate will have expertise in /C# Databricks Spark Delta Lake and Azure cloud architecture along with experience integrating Generative AI solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and Databricks Genie or similar conversational AI tools.

This role requires a combination of solution architecture hands-on engineering technical leadership and cross-functional collaboration to deliver secure scalable high-performance enterprise solutions.

Key Responsibilities

• Design and deliver end-to-end solution architectures spanning front-end applications back-end services APIs data platforms and Azure cloud infrastructure.

• Develop prototypes proof of concepts reference implementations and production-ready code across application data and AI layers.

• Design and implement full-stack applications using /C# REST APIs and cloud-native Azure services.

• Lead Databricks data engineering and analytics architecture including Apache Spark Delta Lake lakehouse design data pipelines and application-service integration.

• Design and implement AI-enabled solutions using RAG architectures LLM integrations Databricks Genie conversational interfaces and enterprise data retrieval.

• Define API standards event-driven architectures distributed systems and integration patterns to support scalable enterprise applications.

• Implement CI/CD pipelines Infrastructure as Code (IaC) automated testing monitoring logging and observability.

• Ensure solution performance scalability availability cost optimization and maintainability.

• Establish architecture and security standards aligned with enterprise policies governance requirements HIPAA SOC 2 and CISO directives.

• Collaborate with Engineering Product CloudOps Security and IT teams to translate business requirements into technical architectures.

• Lead architecture reviews technical design sessions and implementation discussions.

• Mentor engineers promote engineering best practices and communicate architectural decisions to technical and business stakeholders.

Required Qualifications

• 7 years of software engineering experience including at least 5 years in solution architecture technical architecture or senior design roles.

• Strong hands-on experience designing enterprise cloud-native solutions using Microsoft Azure.

• Experience developing front-end applications using Angular.

• Strong back-end development experience and C#.

• Hands-on experience with Databricks Apache Spark Delta Lake lakehouse architecture and data pipeline development.

• Experience designing and integrating REST APIs distributed systems and event-driven architectures.

• Knowledge of Generative AI solution architecture including RAG LLM integration and conversational AI applications.

• Experience with Databricks Genie or similar conversational analytics and natural-language data access tools.

• Experience implementing CI/CD Infrastructure as Code automated testing and observability.

• Strong understanding of enterprise application security data governance scalability performance optimization and cloud cost management.

• Excellent communication technical leadership problem-solving and stakeholder-management skills.

Preferred Qualifications

• Experience with Terraform Pulumi or other Infrastructure as Code tools.

• Experience integrating LLMs with enterprise applications APIs and governed data platforms.

• Familiarity with vector search embeddings enterprise retrieval systems and RAG optimization.

• Experience with Azure cloud-native services application modernization and distributed application deployment.

• Knowledge of HIPAA SOC 2 and enterprise security governance.

• Experience leading architecture decisions mentoring engineering teams and driving adoption of modern engineering practices.

Key Technical Skills

Application Development: C# REST APIs full-stack development.

Cloud Architecture: Microsoft Azure cloud-native architecture distributed systems event-driven architecture.

Data Engineering: Databricks Apache Spark Delta Lake lakehouse architecture data pipelines.

Generative AI: LLM integration RAG Databricks Genie conversational AI enterprise data retrieval.

DevOps and Automation: CI/CD Terraform Pulumi Infrastructure as Code automated testing observability.

Security and Governance: Enterprise security HIPAA SOC 2 data governance CISO directives.