Principal Data Engineer

Role Overview

The Principal Data Engineer is a senior technical leader responsible for setting the strategic direction, architectural vision, and execution of the organization's enterprise data engineering initiatives. This role oversees the design, implementation, and optimization of large-scale, complex data platforms that support advanced analytics, artificial intelligence, and business intelligence solutions.

What You Will Do

Demonstrate extensive hands-on experience with Azure Databricks, Apache Spark, Azure Data Factory (ADF), using these technologies to build, optimize, and scale enterprise data solutions. Lead the design and strategic planning of enterprise-wide data platforms, ensuring alignment with business objectives, scalability, and future-proofing against emerging trends.

Why It Might Be a Fit

Proven leadership ability to drive complex projects from conception to delivery, manage priorities, and deliver impactful results for the business. Exceptional communication skills, with an ability to articulate complex technical concepts and strategies to both technical and non-technical audiences, including executive stakeholders.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a closely related field.
• Minimum of ten (10) years of progressive experience in data engineering, with a proven track record of leading large-scale data platform solutions and architectural initiatives.
• Demonstrated expertise in designing, building, and optimizing ETL/ELT pipelines using ADF, Databricks, and modern cloud-native architectures.
• Mastery of data modeling, relational database systems, and architecting APIs for data access and integration at scale.
• Advanced proficiency in Python, SQL, and other programming languages commonly used in data engineering; experience with Spark, Scala is highly desirable.
• Deep experience with distributed version control systems (e.g., Git) and managing collaborative development workflows across large engineering teams.
• Strong analytical, problem-solving, and data processing skills, with a demonstrated ability to architect resilient, efficient, and secure data solutions.
• Proven leadership ability to drive complex projects from conception to delivery, manage priorities, and deliver impactful results for the business.
• Exceptional communication skills, with an ability to articulate complex technical concepts and strategies to both technical and non-technical audiences, including executive stakeholders.

Benefits

• Career development and progression
• Supportive and engaged line management
• Technical and therapeutic area training
• Peer recognition and total rewards program
• Inclusive culture
• Comprehensive documentation for data models, storage solutions, and data pipelines
• Mentorship and coaching
• Opportunities for innovation and growth