Lead Enterprise Solutions Architect

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.

• Collaborate with other architects, developers, engineering leaders, directors, etc.

• Develop best-practices and guidelines for cloud development and data engineering.

• 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

• 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