You will design and implement end-to-end Azure data architecture solutions covering ingestion, storage, processing, and analytics.
Responsibilities
Develop and maintain Azure Data Architecture frameworks aligned with enterprise standards, governance, and security policies.
Build and maintain scalable data pipelines (ETL/ELT) using Azure Data Factory (ADF) and Synapse, including metadata ingestion and CI/CD automation.
Provide architectural oversight across data integration, modeling, and analytics pipelines, ensuring performance, cost, and compliance.
Implement data security, privacy protection, and governance controls within all Azure environments.
Create technical architecture documents, diagrams, and implementation roadmaps.
Required Skills
10+ years of experience in Data Architecture, Data Engineering, or Cloud Analytics.
Proven expertise with the Microsoft Azure analytics stack, including Microsoft Fabric, Azure Databricks, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, and Azure SQL Database.
Strong background in data modeling, ETL design, and data warehousing.
Hands-on experience with PostgreSQL and Cosmos DB.
Solid understanding of enterprise-scale cloud design, migration strategies, and technology governance.
Experience leveraging Microsoft Well-Architected Framework (WAF) and Cloud Adoption Framework (CAF) methodologies.
Ability to translate complex technical concepts into business value for stakeholders.