Lead Enterprise Solutions Architect

William Blair
Chicago, IL, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Application Performance Management Application Services Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Engineering Databases Data Architecture Information Engineering Data Integration
+22 more
Extract Transform Load (ETL) Data Systems Python (Programming Language) Log Analysis NoSQL OpenAI Tensorflow Azure Data Lake Software Engineering SQL Databases Data Ingestion Pytorch Large Language Models Data Lakes Pyspark Kubernetes Information Technology Google Cloud Functions Data Pipelines Serverless Computing Key Vault Databricks

Job description

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., * 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.

Requirements

Enterprise Architecture, Ecosystems, Cloud Computing, Microsoft Windows Azure, Artificial Intelligence (AI), Data Analysis, Data Quality, Database Extract Transform and Load (ETL), Identify Issues, Problem Solving Skills, * 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

Preferred Skills

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

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