Lead Enterprise Solutions Architect

William Blair • Chicago, IL

21h

About The Position

We are seeking a hands-on Solution Architect to lead the design and implementation of AI-ready cloud platforms and data solutions within our Azure ecosystem. This role is responsible for modernizing our technology stack with an AI-first approach, enabling scalable, secure, and intelligent applications. The ideal candidate is an experienced cloud and data architect with deep expertise in Azure services who thrives in a fast-paced, agile environment.

Requirements

• Deep experience in cloud architecture, data engineering and software development
• Extensive knowledge of Azure ecosystem, Synapse or Databricks or Fabric, Azure Data Lake, Azure Kubernetes, Azure Functions, Azure App services, Event Grid, Key Vault, Application Insights and Azure Log Analytics
• Strong proficiency in Python (primary), with working knowledge of C#
• Familiarity with enterprise architecture tools, related graphical models, and frameworks
• Strong background in SQL and NoSQL databases, including data architecture, modeling and query
• Strong problem-solving, communication, and stakeholder management skills
• Bachelor’s degree in information technology or related subject matter required
• 5+ years of experience architecting and designing cloud and data solutions
• Financial services environment preferred
• Multiple relevant certifications preferred

Nice To Haves

• Open AI, AI Foundry, AI/ML frameworks (TensorFlow, PyTorch)
• Experience with AI/ML frameworks (OpenAI, TensorFlow, PyTorch) and LLM implementations.

Responsibilities

• Design and implement environments for data analytics platforms leveraging Azure services.
• Establish governance, security and deployment frameworks for data pipelines, data lakes, as well as Python Spark and non-Spark Python applications.
• Optimize data ingestion, processing, and storage for real-time analytics and AI applications.
• Evaluate and recommend emerging cloud, data and AI technologies that align with business goals.
• Ensure data quality, governance, and compliance while implementing ETL/ELT and data integration workflows.
• Design and optimize serverless and containerized solutions using AKS, Function apps, and other Azure components.
• Troubleshoot and resolve complex technical issues
• Mentor and train team members throughout the organization
• Collaborate with other architects, developers, engineering leaders, directors, etc.
• Develop best-practices and guidelines for cloud development and data engineering.

Benefits

• medical, dental and vision coverage
• employer paid short & long-term disability and life insurance
• 401(k)
• profit sharing
• paid time off
• Maven family & fertility benefit
• parental leave (including adoption, surrogacy, and foster placement)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level