Description

You will design and implement scalable data architectures on Azure, owning the full lifecycle from ingestion to visualization.

This role is on-site.

Responsibilities

• Build and maintain data lakes and warehouses using Azure Synapse serverless SQL pools and Delta Lake architectures.
• Ingest, prepare, orchestrate, and visualize data across complex pipelines using Azure Data Factory and Synapse Apache Spark Pools.
• Monitor resource usage and user activity across SQL, Spark, and Data Explorer workloads to optimize performance.
• Integrate code with enterprise CI/CD processes using SQL, Spark, or KQL scripts.
• Manage access to analytics resources using Role-based access control (RBAC) to ensure security and compliance.

Required Skills

• 14+ years of experience in Azure data platform development.
• Expertise in Azure Synapse, including serverless SQL pools and Apache Spark.
• Extensive experience with Azure Databricks.
• Proficiency in Azure Data Factory for orchestration and data movement.
• Strong knowledge of Azure Data Lake Storage (ADLS).
• Advanced SQL and Spark coding skills.
• Experience with CI/CD integration for data engineering workflows.
• Ability to work with KQL for data exploration and management.

Preferred Skills

• Graduate degree in a relevant technical field.

Key Skills

Education

Any Graduate