About this role:
Wells Fargo is seeking a Principal Engineer to serve as the technical authority for Graph technologies as part of our Cyber Data Strategy. This role is responsible for designing, building, and scaling graph‑based data platforms that power deep analytics, advanced threat detection, and rapid cyber response across Vulnerability Management, Application Security, Cloud Security, and other Cyber Defense domains.
This individual will lead the technical vision and execution for graph data modeling, large‑scale graph implementations, and advanced analytics use cases. Acting as the enterprise Subject Matter Expert (SME), the Principal Engineer will guide engineering teams at scale by defining reference architectures, design patterns, and best practices, while also executing hands‑on proofs of concept to rapidly validate and evolve solutions.
In this role, you will:
Graph Architecture & Technical Strategy
- Define and own the Graph Technology strategy within the Cyber Data ecosystem, aligning with enterprise data and security architectures
- Design large‑scale graph data models representing complex cyber relationships such as assets, identities, vulnerabilities, configurations, threats, and attack paths
- Establish reference architectures and reusable design patterns for graph platforms supporting analytics, traversal, correlation, and inference
- Evaluate, recommend, and influence graph platforms and tooling (e.g., property graphs, RDF, cloud‑native graph services) through build vs. buy assessments
Engineering Execution & Proof of Concepts
- Lead hands‑on engineering efforts to implement scalable graph solutions, including rapid proofs of concept (POCs) for emerging threat scenarios and analytics use cases
- Partner with data and platform engineering teams to integrate graph data stores with existing data pipelines, analytics platforms, and observability tooling
- Drive performance, scalability, and reliability optimizations for large, high‑volume graph datasets
- Ensure graph solutions meet enterprise requirements for security, resiliency, data quality, and operational excellence
Advanced Analytics & Cyber Use Cases
- Enable advanced analytics use cases such as attack path analysis, blast radius modeling, threat correlation, entity resolution, and risk prioritization using graph technologies
- Collaborate with Cyber domain leaders, detection engineers, and data scientists to translate threat vectors into actionable graph‑based insights
- Influence how Cyber teams consume graph insights to detect threats earlier, reduce mean time to respond (MTTR), and improve proactive defense
Technical Leadership & Influence
- Serve as the go‑to technical authority for graph technologies across Cyber Engineering and Data communities
- Guide multiple engineering teams through design reviews, architectural decisions, and technical problem‑solving without direct managerial authority
- Mentor senior and staff engineers, raising the technical bar across the organization
- Clearly articulate technical concepts, trade‑offs, and architecture decisions to senior engineering leaders and executive stakeholders
Required Qualifications:
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 7+ years of hands‑on software or data engineering experience, with significant depth in distributed systems or data platforms
- 3+ years of deep expertise designing and implementing graph technologies at scale
- Proven experience operating as a technical lead or principal‑level engineer influencing architecture across multiple teams
Desired Qualifications:
- Deep expertise in graph databases and frameworks (e.g., Neo4j, TigerGraph, JanusGraph, Amazon Neptune, Azure Cosmos DB Graph, or equivalent)
- Strong experience designing complex graph data models for large, highly connected datasets
- Familiarity with graph query languages (Cypher, Gremlin, SPARQL)
- Experience building graph‑powered analytics for cybersecurity, risk, fraud, or complex domain modeling
- Strong knowledge of cloud‑native architectures (Azure, AWS, GCP) and data platform integration
- Experience integrating graph data with streaming, batch, and analytics platforms
- Solid grounding in secure software development lifecycle (SSDLC) and enterprise risk expectations
- Exceptional ability to influence without authority and operate effectively in large, matrixed organizations
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; advanced certifications are a plus
Job Expectations:
- This position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
Salary Ranges:
- $159,000 - $254.000 - Charlotte, NC
- $191,000 - $305,000 - Iselin, NJ
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$159,000.00 - $305,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
22 Jan 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.
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.