About this role:
Wells Fargo is seeking a Lead Data Engineer.
In this role, you will:
- Lead complex technology initiatives including those that are companywide with broad impact
- Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
- Design, code, test, debug, and document for projects and programs
- Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
- Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
- Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
- Lead projects, teams, or serve as a peer mentor
Required Qualifications:
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Additional Required Qualifications:
- Strong proficiency in Python for data manipulation, scripting, and building data pipelines.
- Extensive experience with PySpark for large-scale data processing and distributed computing.
- Deep understanding and hands-on experience with graph databases, specifically Neo4j or TigerGraph.
- Proficiency in graph query languages, including Cypher (for Neo4j) or equivalent for TigerGraph.
- Proficiency in Graph Modeling, Data pipelines, Query optimization
- Good to have expertise/experience with Generative AI (GenAI) products, tools, and frameworks (e.g., LLMs, prompt engineering, fine-tuning, integration with data pipelines).
- Experience in GCP cloud, big query
- Independently lead and collaborate with business, data scientists and analysts to implement graph-based analytics and AI solutions
Job Expectations:
- Lead, mentor, and guide a team of data engineers, fostering a collaborative and high-performing environment.
- Architect solutions that leverage graph databases (Neo4j/ Tiger Graph) for complex relationship analysis and knowledge graph construction
- Provide technical direction and support to team members, helping them grow their skills and expertise. Conduct code reviews and provide constructive feedback.
- Collaborate effectively with data scientists, machine learning engineers, product managers, and business stakeholders to understand data requirements and deliver solutions.
- Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences.
- Lead the design, development, and implementation of scalable and efficient data pipelines and architectures, with a particular emphasis on graph data modeling and processing.
- Define and enforce best practices for data engineering, including data quality, data governance, and data security.
- Evaluate and recommend new technologies and tools to enhance our data platform, with a focus on graph databases and GenAI integration.
Posting End Date:
13 Mar 2026
*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 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 Disability 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.