Description

Design and implement enterprise-scale data architectures and engineering pipelines within an Azure environment.

Responsibilities

• Build and hydrate the Enterprise Data Model using Medallion Architecture.
• Engineer data pipelines, stored procedures, and views using SQL and Python.
• Establish technical standards, processes, and architectural patterns for the data team.
• Guide the technical team and manage stakeholder expectations through cross-functional collaboration.
• Integrate cloud technologies and machine learning concepts into data solutions.

Required Skills

• 10+ years of experience in Data & Analytics.
• 5-7 years of hands-on experience building and hydrating data models.
• Proficiency in SQL and Python for data engineering.
• Experience with Azure Databricks and migrating workloads to the platform.
• Deep understanding of Medallion Architecture.
• Strong background in cloud technologies including Azure, AWS, and Google Cloud.
• Knowledge of GPT/LLM, Deep Learning, and Machine Learning.
• Experience with traditional and modern architectural patterns and system integration.

Preferred Skills

• Master’s degree in Computer Science or Engineering.

Key Skills

Education

Bachelor’s or Master’s degree