Description

Key Responsibilities

• Architect and engineer end‑to‑end data solutions on Azure Data Platform and Microsoft Fabric.
• Design scalable data models, schemas, and dimensional models following data warehouse best practices.
• Develop robust ETL/ELT pipelines using ADF, Azure Synapse, Fabric pipelines, and related Azure services.
• Build and optimize big data processing solutions using PySpark, Spark SQL, Databricks, and Fabric capabilities.
• Lead solution design, architecture reviews, PoCs, and modernization initiatives.
• Provide technical leadership, establish standards, and guide engineering teams.
• Drive continuous improvements, reduce technical debt, and align solutions with enterprise architecture roadmaps.

Required Skills & Experience

• 12+ years of experience in SQL, data modelling, and warehouse design.
• 5+ years in cloud-based data engineering (Azure preferred).
• Strong hands-on experience with Microsoft Fabric, Azure Synapse, Azure SQL, ADLS, and related services.
• Deep expertise with Spark, PySpark, and large-scale data processing.
• Knowledge of ETL patterns, data ingestion, orchestration, and pipeline design.
• Ability to work independently in a fast-paced environment.

Preferred Competencies

• Strong architectural mindset with experience designing enterprise-grade data platforms.
• Thought leadership in modern data architecture and cloud transformation.
• Ability to evaluate technology trends and influence target-state architecture

Key Skills

Education

Bachelor's degree