Principal Engineer

About this role:

• Wells Fargo is seeking a Principal Engineer.

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

Job Expectations:

• DataModelling& Semantic Architecture
  • Lead enterprise-widedatamodellingstrategy, including conceptual, logical, and physical models for analytical and operational workloads.
  • Designscalable, high-performance data modelsoptimizedfor BI, advanced analytics, and AI/ML use cases.
  • Build and standardizesemantic layers, canonical data models, and domain-driven data products.
  • Enableknowledge graphs and context-aware data representationsto support advanced AI and LLM-driven use cases.
• Platform Engineering & Architecture
  • Design and implement real-time and batch dataarchitectureson GCP.
  • Develop scalable data pipelines and orchestration frameData Governance, Quality & Trust
  • Establish and operationalizeenterprise data governance frameworks, including data ownership, stewardship, and policy enforcement.
  • Implementdata quality, lineage, observability, and metadata managementpractices using modern tooling (e.g.,Dataplex, DataCatalog).
  • Define and enforcedata contracts and domain-level SLAsin a distributed data mesh architecture.
  • Ensure compliance withprivacy, risk, regulatory, and security requirements, particularly for AI/ML and GenAI systems.
• Data & AI Platform Engineering
  • Architect and deliverscalable real-time and batch data platforms on GCP, supporting enterprise analytics and AI workloads.
  • Developevent-driven and streaming architecturesleveragingPub/Sub, Dataflow,BigQuery, and Cloud Composer.
  • Build reusabledata ingestion, transformation, and orchestration frameworksfor structured and unstructured data.
  • Enablefeature engineering, feature stores, and data pipelinessupporting end-to-end ML lifecycle.
• Predictive AI/ML Engineering
  • Lead the design and implementation ofpredictive AI/ML frameworks, including model training, validation, deployment, and monitoring.
  • Collaborate with data science teams to buildproduction-grade ML pipelinesand ensure scalability, reproducibility, and governance.
  • EnableMLOpspractices, including model versioning, experimentation, drift detection, and performance tracking.
  • Drive adoption ofadvanced analytics and predictive insightsto support risk management, operations, and customer experience.

Additional Required Qualifications

• Strong experience in data engineering, platform engineering, or distributed systems architecture, with a strong focus on enterprise-scale solutions.
• 7+ years of technical leadership experience, influencing architecture and engineering strategy across multiple teams or business units.
• Proventrack recordof driving large-scale data and AI platform transformations in complex, regulated environments.
• 7+ years of hands-on experience in datamodelling(conceptual, logical, and physical) for both analytical and operational systems.
• Deepexpertisein dimensionalmodelling, data vault, or domain-driven data design, supporting BI, AI/ML, and real-time workloads.
• Strong experience designing semantic layers, canonical data models, and data products in distributed architectures (e.g., data mesh).
• 7+ years of experience building cloud-native data platforms at scale, preferably on GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer, GCS).
• 5+ years of experience delivering real-time and event-driven data pipelines.
• Expertisein designing high-throughput, low-latency ingestion, transformation, and orchestration frameworks.
• 7+ years implementing data governance frameworks, including metadata management, lineage, quality, and stewardship models.
• Strong experience with data contracts, data quality rules, and observability tooling.
• Deep understanding of regulatory, privacy, and risk requirements, especially in financial services or similarly regulated industries.

Desired Qualifications:

• Experience inlarge-scale financial institutions (100k+ employees)or highly regulated enterprises.
• Familiarity withfederated query engines (Trino/Starburst)and decentralized data governance models.
• Exposure toDevSecOps, CI/CD pipelines, and platform automation frameworks.
• Experience building and mentoringhigh-performing engineering and architecture teams.

Posting End Date:

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 unit's 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, visit.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our 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.