Senior Data Developer

Summary

We are seeking an experienced Data Developer with expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and strong SQL development skills. The ideal candidate will work on end-to-end data solutions supporting analytics initiatives across clinical, regulatory, and commercial domains in the Life Sciences industry. Familiarity with Azure DevOps, Microsoft Dynamics, and relevant certifications such as DP-700 and Databricks Data Engineer Associate/Professional are preferred. Power BI knowledge is highly preferable to support integrated analytics and reporting.

Responsibilities

• Design, develop, and maintain scalable and secure data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks to support critical business processes.
• Develop curated datasets for clinical, regulatory, and commercial analytics using SQL and PySpark.
• Create and support dashboards and reports using Power BI (highly preferred).
• Collaborate with cross-functional stakeholders to understand data needs and translate them into technical solutions.
• Work closely with ERP teams such as Salesforce.com and SAP S/4HANA to integrate and transform business-critical data into analytic-ready formats.
• Partner with Data Scientists to enable advanced analytics and machine learning initiatives by providing clean, reliable, and well-structured data.
• Ensure data quality, lineage, and documentation in accordance with GxP, 21 CFR Part 11, and industry best practices.
• Use Azure DevOps to manage code repositories, track tasks, and support agile delivery processes.
• Monitor, troubleshoot, and optimize data workflows for reliability and performance.
• Contribute to the design of scalable, compliant data models and architecture.

Education Requirements

Essential Functions of the Role

Education & Work Preferences

• 5+ years of experience in data development or data engineering roles.
• Hands-on experience with:
• Microsoft Fabric (Lakehouse, Pipelines, Dataflows)
• Azure Synapse Analytics (Dedicated/Serverless SQL Pools, Pipelines)
• Experience with Azure Data Factory, Apache Spark
• Azure Databricks (Notebooks, Delta Lake, Unity Catalog)
• SQL (complex queries, optimization, transformation logic)
• Familiarity with Azure DevOps (Repos, Pipelines, Boards).
• Understanding of data governance, security, and compliance in the Life Sciences domain.

Competencies