Azure Cloud Architect – Cosmos DB Specialist
Location: Chicago, IL (100% Onsite) Long Term Contract
We are seeking an experienced Azure Cloud Architect with deep expertise in Cosmos DB and NoSQL-based cloud data migrations to join our cloud transformation initiatives. The ideal candidate will be hands-on with Python coding, skilled in database architecture and migration, and capable of leading complex data modernization efforts, particularly from MarkLogic to Cosmos DB.
Key Responsibilities:
Architect and implement cloud-native solutions on Microsoft Azure, focusing on Cosmos DB, data services, and scalable application design.
Lead or contribute to data migration efforts from MarkLogic DB to Azure Cosmos DB.Develop and optimize data access layers using Cosmos DB SDKs, APIs, and Python.
Collaborate with business and technical teams to understand objectives, design system requirements, and deliver scalable solutions.
Evaluate, recommend, and integrate emerging data technologies and patterns into enterprise systems.
Ensure robust database design, modeling, and performance tuning practices.
Guide data governance, security, and compliance best practices across cloud-hosted systems.
Coordinate with cross-functional teams, stakeholders, and vendors to ensure delivery milestones are met.
Required Skills & Experience:
12-15+ years of IT experience, with 5-8+ years in Azure architecture and data services.
Proven expertise in Cosmos DB (NoSQL): schema design, indexing, partitioning, performance optimization.
Strong Python programming skills for automation, data transformation, and SDK integrations.
Hands-on experience in migrating data from MarkLogic (or similar NoSQL DB) to Cosmos DB.Solid experience in SQL and relational database systems.
Proficiency in data warehousing concepts, ETL pipelines, and data modeling.
Experience designing and optimizing cloud-native database architectures.
Ability to thrive in a fast-paced, dynamic environment with shifting priorities.
Nice to Have:
Exposure to Azure Data Factory, Azure Functions, or other Azure-native tools for data integration. Experience with big data ecosystems or hybrid data platform strategies.
