Think Consulting
Technical Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Lead with a contract length of "unknown" and a pay rate of "unknown." Key skills include C#, Azure Cloud Services, SQL, RESTful API architecture, and AI tooling experience. Financial instruments knowledge is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Governance #Automation #Azure cloud #Cloud #Data Cleansing #API (Application Programming Interface) #ADF (Azure Data Factory) #Azure Service Bus #Datadog #Data Management #Schema Design #Logging #C# #MDM (Master Data Management) #Azure Data Factory #Metadata #Observability #Azure #AI (Artificial Intelligence) #SQL (Structured Query Language) #Azure Function Apps
Role description
Required Technical Skills:
• C# (primary language for services, integration tooling, and automation)
• Azure Cloud Services, particularly:
• Azure Data Factory
• Azure Function Apps
• Azure Service Bus
• SQL (query optimization, schema design, stored procedures, data validation)
• RESTful API architecture and integration (designing, consuming, securing APIs)
• Datadog for logging, observability, APM, dashboards, and alerting
• Must have AI tooling experience. It is imperative that this individual has an AI first mindset and able to navigate and use tools like CoPilot and Cursor
Preferred Knowledge
• Strong understanding of master data management, metadata standards, and data governance
• Knowledge of financial instruments and market data fundamentals
• Data cleansing, enrichment, validation, and reconciliation processes
Team size: 10-11 people
Required Technical Skills:
• C# (primary language for services, integration tooling, and automation)
• Azure Cloud Services, particularly:
• Azure Data Factory
• Azure Function Apps
• Azure Service Bus
• SQL (query optimization, schema design, stored procedures, data validation)
• RESTful API architecture and integration (designing, consuming, securing APIs)
• Datadog for logging, observability, APM, dashboards, and alerting
• Must have AI tooling experience. It is imperative that this individual has an AI first mindset and able to navigate and use tools like CoPilot and Cursor
Preferred Knowledge
• Strong understanding of master data management, metadata standards, and data governance
• Knowledge of financial instruments and market data fundamentals
• Data cleansing, enrichment, validation, and reconciliation processes
Team size: 10-11 people
