About
Note: Fidelity will not provide immigration sponsorship for this position.
THE ROLE
We are seeking an accomplished
Principal Data Engineer
to lead the implementation of our enterprise data strategy. This senior technical leadership role is responsible for building scalable, high-quality data solutions and defining how data engineering is executed across the organization.
As the Principal Data Engineer, you will serve as the
technical authority for data engineering , shaping architecture, governance, and the long-term direction of modern data platforms. You will establish engineering excellence standards while remaining hands-on for critical implementations.
This role is ideal for a leader experienced in owning end-to-end delivery and building durable, well-governed platforms that support structured and unstructured data, analytics, and future AI/ML use cases.
The Skills and Expertise You Bring
Core Expertise & Leadership 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 Excellent communication skills with the ability to influence both technical and non-technical stakeholders Technical Expertise
Deep hands-on experience with
Microsoft Fabric, Azure data services
(Lakehouse, Data Factory, Synapse, Databricks), or similar platforms (e.g., Snowflake) 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
(preferred) Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, or related field Experience supporting
finance or enterprise reporting domains Familiarity with
CI/CD, DevOps, DataOps, and data governance tooling Experience modernizing
legacy data platforms to cloud-native architectures Experience implementing
AI/ML solutions on Azure + Fabric Experience with enterprise data governance tools such as
Microsoft Purview The Team
On this team, you will:
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's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Languages
- English
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