Summary:
This is a senior-level engineering role focused on building enterprise-grade data pipelines, cloud integrations, and analytics platforms using Microsoft Azure. Ideal for experienced data engineers with strong command of Azure Data Factory, Databricks, and DevOps automation, this role supports analytics and business intelligence initiatives across professional services. The position plays a key role in enabling secure, scalable data access and insights across the firm.
What You’ll Do:
• Design and manage scalable data pipelines using Azure ADF, ADLS, and Databricks
• Develop ELT processes for structured and semi-structured data (e.g., JSON, Parquet)
• Implement CI/CD pipelines for data products using Azure DevOps and Git
• Collaborate with BI teams to optimize datasets for Power BI consumption
• Automate infrastructure setup using IAC and monitor performance with Azure tools
• Mentor junior engineers and maintain high standards for code quality and documentation
Experience You’ll Need:
• 7+ years in data engineering or BI development
• 3+ years of experience in Microsoft Azure data services
• Hands-on skills with ADF, ADLS Gen2, Databricks, PySpark, and Delta Lake
• Proficiency in Azure DevOps for orchestration and release management
• Experience with Git workflows and Agile delivery tools (JIRA, Azure Boards)
• Familiarity with Power BI, schema design, and data governance tools is a plus
Why Join:
• Contribute to meaningful, large-scale data transformation in a professional services setting
• Gain exposure to enterprise cloud architecture and cross-functional Agile delivery
• Competitive compensation with robust benefits including 401(k), healthcare, PTO, and parental support