Senior Data Engineer

We are seeking ahands-on Technical Leadto lead the development and operation of its Microsoft Fabric-based Platform. This role combinesdata platform architecture, hands-on engineering, technical leadership, and business partnership.

Key Responsibilities

• Lead the architecture and engineering of the Microsoft Fabric data lake-house, includingOneLake, 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 integrating50+ 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 platformsupport models, SLAs, monitoring, data quality, incident management, and operational processes.
• Define and track platform KPIs such aspipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution.
• Develop the semantic layer, includingPower BI datasets, gold-layer views, and self-service analytics.
• Implement data governance, security, classification, RBAC, sensitivity labeling, and audit requirements.
• Establish engineering standards fordevelopment, testing, branching, documentation, and deployment.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 7–10 yearsof experience in data engineering, data platforms, or analytics infrastructure.
• 2+ years of technical leadershipexperience with data/analytics engineers.
• Strong hands-on experience withMicrosoft Fabric; Databricks or Azure Synapse experience may be considered.
• Strong proficiency inPySpark, Python, T-SQL, ETL/ELT, and modern data engineering practices.
• Experience withmedallion/layered data architectureat enterprise scale.
• Experience withDevOps, CI/CD, Azure DevOps/GitHub, and infrastructure-as-code.
• Knowledge ofdata governance and quality frameworkssuch as Microsoft Purview.
• Experience managing technical delivery from external vendors.

Preferred

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