Hybrid Principal Engineer – Cyber Data, Engineering

at Wells Fargo

• Job title: Principal Engineer – Cyber Data, Engineering
• Job type: Full Time
• Experience level: Lead
• Salary: $159,000 - $305,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Cyber Security, Distributed Systems, Google Cloud Platform, Neo4j
• Location requirements: Hybrid, Charlotte, United States

About the role

• Principal Engineer overseeing graph technologies for Cyber Data Strategy at Wells Fargo. Designing and implementing graph-based data platforms for advanced analytics and cyber defense.

Responsibilities

• 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
• 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
• 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
• 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

Requirements

• 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
• 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

Benefits

• 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