Principal Engineer Data Engineering

About this role:

Wells Fargo is seeking a highly motivated Principal Engineer to design architect and lead Data Engineering initiatives within the organization. This role requires a handson technologist who can anchor critical initiatives to drive operational excellence and enhance employee and customer experience.

In this role you will:

• Act as an advisor to leadership to develop or influence applications network information security database operating systems or web technologies for highly complex business and technical needs across multiple groups

• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise delivering solutions that are long-term large-scale and require vision creativity innovation advanced analytical and inductive thinking

• Translate advanced technology experience an in-depth knowledge of the organizations tactical and strategic business objectives the enterprise technological environment the organization structure and strategic technological opportunities and requirements into technical engineering solutions

• Provide vision direction and expertise to leadership on implementing innovative and significant business solutions

• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization

• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

• 7 years of Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education

Desired Qualifications:

• 7 years of progressive engineering experience with sustained handson expertise in architecture system design and endtoend solution development.

• 7 years of Data Engineering experience with strong expertise in driving migration from legacy data platforms to cloudnative lakehousebased architectures

• 3 Years of Hands-on experience in transformation of legacy data framework to modern stack in private or public cloud.

• Architect and implement modern data platforms using Azure Fabric (OneLake Data Factory Synapse RealTime Analytics Power BI integration).

• Design and build data pipelines and platforms on GCP using services such as : BigQuery Dataflow/Apache Beam Pub/Sub Dataproc/Spark Cloud Storage Cloud Composer/Airflow Dataplex Data Catalog

• Deep expertise in SQL Python and distributed data processing frameworks (Spark Beam)

• Strong handson background of developing large scale enterprise applications.

• Experience with data modeling ETL/ELT patterns and Lakehouse architecture.

• Hands on experience in building modernized applications using Microservice architecture.

• Cloud-native engineering experience serverless managed Spark event-driven architectures.

• Familiarity with containerization (Docker K8s) and workflow operators.

• Knowledge of data governance platforms (Collibra Alation Purview).

• Experience implementing lineage observability drift detection.

• Drive innovation by introducing emerging AI technologies frameworks and best practices to improve decisionmaking automation and predictive insights.

• Strong background in AI Machine Learning GenAI including retrieval systems embeddings chunking strategies and agentic AI workflows.

Job Expectations:

• Enterprise Technical Stewardship

  • Act as a Principal Engineer and strategic advisor to senior leadership shaping technology decisions that impact multiple lines of business and the broader enterprise.

  • Define and evolve enterprisescale architectures for Data modernization ensuring alignment with security risk and regulatory requirements.

• HandsOn Leadership

  • Remain deeply handsondesigning reviewing and occasionally coding critical components to set a high engineering bar.

  • Lead by example in applying engineering rigor automation testing performance optimization and secure coding practices.

• Influence & Thought Leadership

  • Serve as a visible technical spokesperson internally and externally presenting ideas architectures and innovation narratives with clarity and conviction.

  • Mentor senior engineers and architects raising the overall technical maturity of the organization.

  • Foster a culture of engineering excellence curiosity and continuous learning.

• OutsideIn Innovation

  • Continuously scan the external ecosystem to bring new ideas technologies and patterns into the enterprise in a pragmatic valuedriven manner.

  • Challenge legacy thinking and advocate for simplification modernization and platform thinking.

  • Balance innovation with operational stability risk management and longterm sustainability.

• Data Engineering

  • Responsible for designing developing optimizing and maintaining metadatadriven scalable highperformance data engineering frameworks that power critical data ecosystem in the HR space.

  • Define and execute the enterprise data engineering roadmap aligned to business priorities.

  • Mentor data engineering teams delivering scalable secure and high quality data solutions.

  • Partner with architecture product analytics and risk teams to drive data driven decision making.

  • Track industry trends evaluate relevant tools/platforms and adapt the best practices

• AI / GenAI Enablement

  • Drive the strategy adoption and governance of AI and GenAI capabilities across HR initiatives.

  • Partner with product data risk and security teams to ensure responsible explainable and scalable AI solutions.

  • Identify highvalue use cases and guide teams from proofofconcept to production at scale.

• OutcomeDriven Execution

  • Measure success through business impact not just technical deliveryimproved timetomarket developer productivity system resilience and customer outcomes.

  • Partner closely with stakeholders to ensure technology investments deliver durable enterprisewide value.

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit Market Financial Crimes Operational Regulatory Compliance) which includes effectively following and adhering to applicable Wells Fargo policies and procedures appropriately fulfilling risk and compliance obligations timely and effective escalation and remediation of issues and making sound risk decisions. There is emphasis on proactive monitoring governance risk identification and escalation as well as making sound risk decisions commensurate with the business units risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates including women persons with disabilities aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.