Principal Data Engineer

Job Summary

As a Principal Data Engineer, you will serve as a hands‑on technical leader responsible for designing, building, and optimizing Cambridge’s modern data platform. You will help define data architecture standards, lead engineering efforts, mentor team members, and drive scalable data solutions that support enterprise analytics and business initiatives.

• Design, develop, and maintain scalable data pipelines supporting enterprise reporting, analytics, and business applications.
• Build and optimize ETL/ELT solutions using modern cloud‑based technologies.
• Design and implement data integration solutions utilizing Azure Data Factory (ADF), Azure Functions, and other Azure services.
• Develop and maintain datasets within Snowflake and Azure Data Lake Storage (ADLS) environments.
• Lead data platform architecture initiatives, including data modeling, ingestion, transformation, storage, and consumption patterns.
• Drive performance tuning and cost optimization efforts across cloud data platforms and processing workloads.
• Design secure, reliable data movement solutions using batch and streaming integration patterns.
• Establish engineering best practices, code reviews, and architectural standards.
• Mentor data engineers and provide technical leadership across projects.
• Partner with analytics, product, and business stakeholders to deliver scalable, high‑quality data solutions.

Phoenix, AZ, or Fairfield, IA – Hybrid in‑office 3 days/week

• 8+ years of experience in data engineering, data architecture, or related technical roles.
• Strong hands‑on experience with Snowflake (SQL), Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, data pipeline development, ETL / ELT design and implementation.
• Strong SQL development and data modeling expertise.
• Experience designing scalable data integration and analytics solutions in Azure.
• Knowledge of modern data architecture patterns and best practices.
• Preferred:
  Experience with Bronze/Silver/Gold (Medallion) architecture patterns.
• Preferred:
  Experience with Change Data Capture (CDC) and streaming platforms.
• Preferred:
  Experience with data governance, lineage, and metadata management.
• Preferred:
  Knowledge of financial services, wealth management, or highly regulated industries.

• Premium benefit package including medical, vision, dental, life and long‑term disability insurance.
• Vacation/sick time.
• 401K retirement plan with company matching program.
• Eleven paid holidays.