Senior Data Engineer (Python, Azure Fabric, PySpark)

Model N is seeking an experienced and innovative Data Architect/Engineer to join our newly formed Client Analytics team. This is a unique opportunity to join at the ground level and play a key role in building an analytics platform that delivers high-value insights and production-ready models across the organization.

The ideal candidate will have extensive experience integrating disparate data sources into a scalable, robust data architecture that empowers analytics and machine learning initiatives. A strong customer focus and the ability to independently plan, prioritize, and execute multiple projects in parallel are essential.

If you thrive in a fast-paced, evolving environment and want to help shape the future of analytics at Model N, we want to hear from you.

Job Responsibilities

• Lead the design and implementation of scalable data infrastructure and pipelines in collaboration with IT, enabling secure and high-performance access to Azure Fabric lakehouses to support reporting, advanced analytics, and machine learning use cases.
• Collaborate with analysts and stakeholders to translate business questions and model requirements into structured data workflows and repeatable, automated processes.
• Implement and manage data ingestion and transformation workflows across diverse sources using tools such as Python, PySpark, SQL, Azure Data Factory, and Microsoft Fabric.
• Enable batch model scoring pipelines, manage model artifacts and outputs, and ensure timely delivery of results to reporting environments (e.g., Power BI datasets).
• Ensure data quality, lineage, and governance, implementing validation rules and monitoring to support trusted analytics and reproducibility.
• Act as a technical advisor and partner to the analytics team, helping define data requirements and optimize model performance through better data design and availability.
• Continuously evaluate emerging data technologies and practices, recommending improvements to infrastructure, tooling, and processes that enhance analytical agility and scale.
  
  

Job Skills

• 5–8 years of experience in data engineering, data architecture, or analytics infrastructure roles.
• Proven track record of designing and deploying scalable data pipelines and structured data assets in modern cloud environments.
• Hands-on experience managing data pipelines for machine learning, including support for model deployment and scoring workflows.
• Experience working cross-functionally with business, analytics, and product teams to align data capabilities with strategic needs.
• Familiarity with customer analytics concepts, including segmentation, churn, and lifecycle metrics.
  
  

Technical Skills

• Strong hands-on experience with Azure Fabric, Lakehouses, and Microsoft Fabric pipelines.
• Proficient in Python for building and automating data workflows, including cleansing and writing to cloud storage.
• Expertise in SQL for data extraction, transformation, and performance tuning.
• Experience with semantic modeling (e.g., using DAX, Power BI datasets) to support self-service analytics.
• Understanding of data warehouse design principles, including star/snowflake schemas and slowly changing dimensions.
• Exposure to CRM systems (e.g., Salesforce) and version control tools (e.g., Git).
• Familiarity with MLOps workflows, including model versioning, batch scoring, and result storage.
• Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Data Engineering, Information Systems, Data Science, or related disciplines).
• Master’s degree preferred in Data Engineering, Computer Science, or a related field.
  
  

About Model N

Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-add services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com .