Description

You will design and oversee large-scale data architectures and enterprise technology solutions.

Responsibilities

• Design and develop Data Warehouse and Data Lake architectures for petabyte-scale datasets.
• Build data pipelines for batch (ETL) and streaming (Kafka) capabilities.
• Architect data modeling solutions using Entity Relationship, Logical, Conceptual, and Physical models.
• Implement cloud architecture patterns in Azure or AWS, focusing on security and cost optimization.
• Develop data hubs using canonical data models and optimized APIs for data exchange.

Required Skills

• 10 years of experience in data architecture, data modeling, and profiling in schema-on-read and schema-on-write environments.
• 10 years of SQL programming experience, including stored procedures, functions, and triggers.
• 10 years of experience with relational and NoSQL databases (Document, Graph, Key-Value).
• 10 years of experience implementing cloud architecture patterns in Azure or AWS.
• 10 years of experience architecting and implementing Business Intelligence tools.
• 8 years of experience in Data Warehouse and Data Lake architecture, design, and development.
• 5 years of experience with Python or similar object-oriented programming.
• 5 years of experience designing technology solutions using composable architecture and microservices.
• 5 years of experience architecting Advanced Analytics platforms and machine learning model life-cycle management.
• 5 years of experience working with large volumes of data in the petabyte range.
• 5 years of experience with source control systems such as Azure DevOps.
• 2 years of experience designing solutions augmented with artificial intelligence.
• Master’s degree in Computer Science, Analytics, Data Science, or Information Systems (or equivalent work experience).

Preferred Skills

• Experience with Data Mesh or Data Fabric architecture design and implementation.
• Experience with Dev or DataOps processes.

Key Skills

Education

Any Graduates