Azure Sr. Data Engineer

Cyclotron, Inc. • Orlando, FL

50d • Remote

About The Position

As a Sr. Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices.

Requirements

• Bachelors in Computer Science, Engineering, or related discipline (Master’s preferred).
• 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks.
• Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices.
• Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.
• Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB).
• Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.
• Excellent communication, project leadership, and stakeholder management skills.

Nice To Haves

• Bachelors in Computer Science, Engineering, or related discipline (Master’s preferred).
• 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure.
• Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices.
• Advanced knowledge of Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.
• Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB).
• Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.
• Excellent communication, project leadership, and stakeholder management skills.

Responsibilities

• Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.
• Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.
• Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms.
• Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.
• Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.
• Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.
• Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.
• Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem.
• Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees