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# Azure DBX

- **Company:** Fractal Analytics
- **Location:** United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Engineering, Databases, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Apache Hive, Python (Programming Language), Key Management, PostgreSQL, Log Analysis, Microsoft SQL Server, SQL Azure, Release Management, Standard Sql, DataOps, Azure Data Lake, Data Streaming, Unstructured Data, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Apache Kafka, Machine Learning Operations, Terraform, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8699eca260e46b8d

## About the Role

We are seeking a highly skilled Senior Azure Databricks Engineer to design, develop, and optimize enterprise-scale data platforms on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure Databricks, Data Engineering, Cloud Architecture, and Data Integration solutions. This role requires close collaboration with business stakeholders, architects, data scientists, and cross-functional teams to deliver scalable and high-performance data solutions., * Experience implementing Lakehouse architectures.

 * Experience with Streaming solutions using Event Hub or Kafka.
 * Knowledge of Machine Learning workflows in Databricks.
 * Exposure to Healthcare, Life Sciences, Pharmaceutical, or Financial Services domains.
 * Experience working directly with client stakeholders in onsite environments.
 * Strong understanding of data security, governance, and data quality frameworks.

Education

 * Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

## Description

* Design, develop, and maintain scalable data pipelines using Azure Databricks.
 * Build and optimize ETL/ELT workflows for processing large-volume structured and unstructured datasets.
 * Develop data solutions using Spark (PySpark/Scala) within Azure Databricks.
 * Implement Medallion Architecture (Bronze, Silver, Gold layers) for modern data platforms.
 * Integrate data from multiple sources including APIs, databases, files, and streaming platforms.
 * Collaborate with solution architects and business teams to understand data requirements.
 * Design and implement data models supporting analytics, reporting, and AI/ML initiatives.
 * Optimize Spark jobs and cluster configurations for performance and cost efficiency.
 * Develop CI/CD pipelines for Databricks deployments using Azure DevOps.
 * Implement data governance, security, monitoring, and compliance best practices.
 * Troubleshoot production issues and support business-critical data operations.
 * Mentor junior engineers and conduct technical reviews.

Required Skills

Azure Technologies

 * Azure Databricks (DBX)
 * Azure Data Factory (ADF)
 * Azure Data Lake Storage Gen2 (ADLS)
 * Azure Synapse Analytics
 * Azure Key Vault
 * Azure DevOps
 * Azure Monitor and Log Analytics

Data Engineering

 * PySpark
 * Spark SQL
 * Python
 * SQL
 * Delta Lake
 * Data Modeling
 * ETL/ELT Development
 * Data Warehousing Concepts

DevOps & Automation

 * Git
 * CI/CD Pipelines
 * Infrastructure as Code (Terraform preferred)
 * Release Management

Database Technologies

 * SQL Server
 * Azure SQL Database
 * PostgreSQL
 * Snowflake (Preferred)


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