The Principal Data Engineer will lead the implementation of the enterprise data strategy at Fidelity, focusing on building scalable and high-quality data solutions. This senior technical leadership role involves shaping architecture and governance for modern data platforms while ensuring engineering excellence. The role requires a leader with experience in delivering well-governed platforms that support various data types and analytics. The team will work closely with stakeholders to deliver high-quality data solutions and mentor engineers to enhance the organization's data engineering maturity.

• Proven experience as a Lead or Principal Data Engineer, owning architecture, delivery, and platform strategy.
• Ability to translate business and finance transformation goals into scalable, governed data solutions.
• Strong track record establishing engineering standards, controls, and best practices across teams.
• Deep hands-on experience with Microsoft Fabric, Azure data services, or similar platforms.
• Strong expertise in ETL/ELT design, data modeling, and modern data warehousing concepts.
• Advanced SQL skills and strong understanding of modern data architectures.
• Proficiency in programming languages such as Python.
• Bachelor’s degree in Computer Science, Engineering, or related field.

• Lead implementation of the enterprise data strategy and define the target-state architecture using Microsoft Fabric and Azure.
• Establish and enforce data engineering best practices, including coding standards, CI/CD, DataOps, and operational controls.
• Define engineering excellence controls such as quality gates, observability, and production readiness standards.
• Design and oversee enterprise-scale data pipelines, ETL/ELT processes, and data models supporting analytics and finance use cases.
• Guide teams in building secure, scalable, and reusable lakehouse, warehouse, and semantic models.
• Partner with business analysts, architects, and stakeholders to deliver high-quality data solutions.
• Act as a trusted advisor to senior leadership, communicating technical tradeoffs and recommendations.
• Mentor engineers and elevate the organization’s overall data engineering maturity.
• Ensure solutions meet expectations for performance, reliability, cost efficiency, and scalability.
• Oversee monitoring, troubleshooting, and continuous improvement of production data systems.
• Drive modernization of legacy workflows into cloud-native, Fabric-based platforms.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.