Description

Architect and engineer end-to-end data solutions on Azure Data Platform and Microsoft Fabric.

This role is remote.

Responsibilities

• Design scalable data models, schemas, and dimensional models following data warehouse best practices.
• Develop ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Fabric pipelines.
• Build and optimize big data processing solutions using PySpark, Spark SQL, and Databricks.
• Lead solution design, architecture reviews, and modernization initiatives.
• Establish engineering standards, guide teams, and reduce technical debt.

Required Skills

• 12+ years of experience in SQL, data modelling, and warehouse design.
• 5+ years of cloud-based data engineering experience, preferably on Azure.
• Strong hands-on experience with Microsoft Fabric, Azure Synapse, Azure SQL, and ADLS.
• Deep expertise with Spark, PySpark, and large-scale data processing.
• Knowledge of ETL patterns, data ingestion, orchestration, and pipeline design.
• Bachelor's degree in a relevant field.

Preferred Skills

• Strong architectural mindset with experience designing enterprise-grade data platforms.
• Experience with thought leadership in modern data architecture and cloud transformation.

Key Skills

Education

Bachelor's degree