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Lead Enterprise Solutions Architect

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William Blair & Company

Stealth

Distributed
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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the design and implementation of AI-ready cloud platforms and data solutions in Azure. You will modernize technology with an AI-first approach, establish secure and scalable data environments, optimize analytics workloads, and develop cloud and data-engineering best practices. You will resolve complex technical issues, mentor colleagues, and collaborate with architects, developers, and engineering leaders.

Requirements

  • Deep experience in cloud architecture, data engineering, and software development
  • Extensive knowledge of Azure, Synapse, Databricks, Fabric, Azure Data Lake, Azure Kubernetes, Azure Functions, Azure App Services, Event Grid, Key Vault, Application Insights, and Azure Log Analytics
  • Proficiency in Python and working knowledge of C#
  • Familiarity with enterprise architecture tools, graphical models, and frameworks
  • Knowledge of SQL and NoSQL databases, data architecture, modeling, and query
  • Bachelor’s degree in information technology or a related subject
  • 5+ years of experience architecting and designing cloud and data solutions

Responsibilities

  • Design and implement Azure-based environments for data analytics platforms
  • Establish governance, security, and deployment frameworks for data pipelines, data lakes, and Python applications
  • Optimize data ingestion, processing, and storage for real-time analytics and AI applications
  • Evaluate and recommend cloud, data, and AI technologies
  • Ensure data quality, governance, and compliance in ETL/ELT and data-integration workflows
  • Design and optimize serverless and containerized solutions using AKS, Function Apps, and Azure components
  • Troubleshoot and resolve complex technical issues
  • Mentor and train team members
  • Collaborate with architects, developers, and engineering leaders
  • Develop best practices and guidelines for cloud development and data engineering

Benefits

  • Discretionary annual bonus and/or commission-based incentives
  • Medical, dental, and vision coverage
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid life insurance
  • 401(k)
  • Profit sharing
  • Paid time off
  • Maven family and fertility benefit
  • Parental leave including adoption, surrogacy, and foster placement
  • Voluntary benefits