Senior Data Engineer

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture hands-on engineering technical leadership and business partnership.

• Lead the architecture and engineering of the Microsoft Fabric data lake-house including OneLake medallion architecture Spark/SQL and CI/CD.
  
• Provide hands-on technical leadership mentoring code reviews and architectural guidance to data and analytics engineers.
  
• Design and build scalable data pipelines integrating 50 enterprise source systems.
  
• Partner with business stakeholders across R&D Commercial Manufacturing Supply Chain and Corporate functions to translate business needs into data solutions.
  
• Manage and technically oversee external implementation partners ensuring engineering quality and adherence to standards.
  
• Establish platform support models SLAs monitoring data quality incident management and operational processes.
  
• Define and track platform KPIs such as pipeline reliability data freshness query performance onboarding velocity and incident resolution.
  
• Develop the semantic layer including Power BI datasets gold-layer views and self-service analytics.
  
• Implement data governance security classification RBAC sensitivity labeling and audit requirements.
  
• Establish engineering standards for development testing branching documentation and deployment.
  

• Bachelors degree in Computer Science Data Engineering Information Systems or related field.
  
• 710 years of experience in data engineering data platforms or analytics infrastructure.
  
• 2 years of technical leadership experience with data/analytics engineers.
  
• Strong hands-on experience with Microsoft Fabric; Databricks or Azure Synapse experience may be considered.
  
• Strong proficiency in PySpark Python T-SQL ETL/ELT and modern data engineering practices.
  
• Experience with medallion/layered data architecture at enterprise scale.
  
• Experience with DevOps CI/CD Azure DevOps/GitHub and infrastructure-as-code.
  
• Knowledge of data governance and quality frameworks such as Microsoft Purview.
  
• Experience managing technical delivery from external vendors.
  

• Biopharma life sciences or other regulated-industry experience including GxP and validation requirements.
  
• Experience with Veeva LIMS ELN/Benchling CTMS EDC MasterControl or HRIS integrations.
  
• Experience with AI/ML workloads on a lake-house.
  
• Microsoft Fabric Data Engineering certification.