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# Azure Databricks Engineer

- **Company:** Aspire Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing Security, Continuous Integration, Data Governance, Data Infrastructure, Data Transformation, Data Security, Data Systems, Identity and Access Management, Key Management, SQL Azure, Role-Based Access Control, Azure Active Directory, SQL Databases, Azure Data Factory, Apache Spark, Database Performance, Pyspark, Information Technology, Database Replication, Data Pipelines, Databricks
- **Published:** May 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a3c41af6feb9c9cc

## About the Role

Do you have experience in Spark?, We are looking for a highly skilled Azure Databricks Engineer with 8-10 years of overall IT experience and strong expertise in designing, developing, and managing enterprise-scale data solutions on Microsoft Azure. The ideal candidate should have a minimum of 5 years of hands-on experience working with Azure data engineering services, especially Azure Databricks and Azure SQL., * Strong hands-on experience with:

 + Azure Data Factory
 + Azure Databricks
 + Azure SQL
 + PySpark & SQL
 + Data Quality frameworks (DLT & DQX)
 + Azure Key Vault
 + Azure Entra ID
 + Azure DevOps
 + DABS
 + Azure RBAC & IAM
 * Experience in Data Replication and CDC implementations using tools like Stelo or similar technologies.
 * Strong understanding of cloud security, access management, and data governance.
 * Experience with Databricks AI capabilities and agent creation.
 * Excellent communication and coordination skills for working with distributed teams.

Preferred Qualification:

 * Databricks Certification is mandatory.

## Description

The role involves building scalable data pipelines, implementing data quality frameworks, enabling secure data access, and supporting modern data platform initiatives using Azure-native technologies. The candidate will work closely with cross-functional onshore and offshore teams to deliver high-quality data engineering solutions and support AI-driven data initiatives within Databricks., * Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks.

 * Implement and manage data transformation, ingestion, replication, and CDC processes using PySpark, SQL, and related tools.
 * Build and maintain robust Data Quality frameworks using DLT and DQX within Databricks environments.
 * Manage secure handling of PII data through encryption/decryption mechanisms and secure service account access.
 * Work extensively with Azure SQL and optimize database performance, queries, and data models.
 * Configure and manage Azure security services including Azure Key Vault, Azure Entra ID, Azure RBAC, and Azure IAM.
 * Support CI/CD implementation and deployment activities using Azure DevOps and DABS.
 * Develop Databricks agents and work with Databricks AI-related components and capabilities.
 * Collaborate effectively with global teams across development, testing, and production support activities.
 * Ensure adherence to enterprise security, governance, and compliance standards.


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