remote
Associate Data Architect I - UST
Software Engineer
Design and implement scalable Azure data solutions using PySpark, building high‑performance ETL pipelines with Databricks, Data Factory, and Synapse while ensuring security, cost efficiency, and enterprise‑grade analytics.
About the role
Key Responsibilities
- Design end‑to‑end data architectures on Microsoft Azure, leveraging Azure Data Services and PySpark.
- Develop and optimize high‑performance ETL pipelines using Azure Databricks, Azure Data Factory, and Synapse Analytics.
- Architect scalable, secure, and cost‑efficient cloud solutions that meet enterprise data processing and analytics requirements.
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into robust data models and workflows.
- Implement best practices for data governance, security, and performance monitoring across Azure environments.
Requirements
- Strong experience with Azure cloud services, especially Azure Databricks, Data Factory, and Synapse Analytics.
- Proficiency in PySpark for large‑scale data processing and ETL development.
- Solid understanding of solution architecture principles, data modeling, and cloud security.
- Hands‑on experience building and optimizing data pipelines in a production environment.
- Excellent problem‑solving skills and ability to work collaboratively in cross‑functional teams.