Description:

Tiger Analytics is a fast-growing advanced analytics consulting firm that specializes in Data Science, Machine Learning, and AI.
The company is recognized as a trusted analytics partner for several Fortune 100 companies, helping them generate business value from data.
The role of Azure Databricks Senior Architect involves architecture, designing, and implementing best data practices on the Azure platform.
Strong proficiency in Databricks is a must-have requirement for this position.
Candidates should have extensive experience with Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, and Azure Stream analytics.
Knowledge of tools used to identify and manage both structured and unstructured data is essential.
The role requires expertise in BI, EDW, along with Data Strategy, Architecture, and Governance.
Candidates should have defined and implemented information lifecycle management practices.
A strong background and working knowledge in end-to-end data management principles is necessary.
The position requires experience in developing and utilizing tools that prepare, extract, and manipulate data to create connected datasets for analytics purposes.
Strong communication skills at the technical levels and demonstrated teamwork skills are important for this role.
Experience in architecting and building Azure IoT platforms/apps, with exposure to containerization and serverless architecture, is considered a good-to-have.

Requirements:

Candidates must have strong proficiency in Databricks.
Extensive experience with Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, and Azure Stream analytics is required.
Knowledge of tools for managing structured and unstructured data is necessary.
Candidates must have expertise in BI, EDW, Data Strategy, Architecture, and Governance.
Experience in defining and implementing information lifecycle management practices is required.
A strong background in end-to-end data management principles is essential.
Candidates should have experience in developing tools for preparing, extracting, and manipulating data for analytics purposes.
Strong communication skills at the technical levels are required.
Demonstrated teamwork skills are necessary for this position.
Experience in architecting and building Azure IoT platforms/apps is a good-to-have.

The position offers significant career development opportunities as the company continues to grow.
Candidates will have the unique opportunity to be part of a small, challenging, and entrepreneurial environment.
The role comes with a high degree of individual responsibility, allowing for personal and professional growth.

Skills