Lead the design and development of Azure-based data solutions, architecting pipelines, data lakes, and warehouses to deliver actionable insights for enterprise stakeholders.
About the role
Key Responsibilities
Architect and implement end‑to‑end data pipelines on Azure Data Factory, Synapse, and Databricks, ensuring scalability and reliability.
Design and maintain Azure Data Lake Storage and Azure SQL Data Warehouse schemas to support analytics and reporting.
Develop and optimize SQL and Python scripts for data transformation, cleansing, and enrichment.
Collaborate with data scientists and business analysts to translate requirements into robust data models and dashboards.
Implement security, governance, and monitoring best practices across the data platform.
Requirements
5+ years of experience in Azure data services and data engineering.
Proficiency in SQL, Python, and Azure Data Factory.
Hands‑on experience with Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
Strong understanding of data governance, security, and compliance in cloud environments.
Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced setting.