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The job details are as follows:
As a Principal Software Engineer, you will be a technical leader responsible for setting the technical direction for Linked Data, graph-based knowledge representation, and related modernization efforts across the organization. You will partner closely with Architects and Product to define long-term technical strategy, drive adoption of graph/Linked Data standards, and mentor senior engineers — while remaining hands-on enough to guide real system design and implementation decisions. This role is expected to stay hands-on with actual coding as needed — contributing directly to project completion, building proof-of-concepts, and demonstrating technical direction through working code, not just through design documents. You are expected to drive and influence change across the enterprise, not just within a single team.
Responsibilities
- Define and communicate the technical vision for Linked Data and graph-based systems across the organization.
- Develop modernization strategies and system design roadmaps that move metadata infrastructure toward graph-based, standards-based representation.
- Partner closely with Architects and Product to establish long-term technical direction — this partnership is critical to the role, not incidental to it.
- Influence engineering teams and drive adoption of architectural standards, including graph data modeling and Linked Data best practices.
- Write production code and build proof-of-concepts hands-on, particularly to unblock project delivery, validate new approaches, or demonstrate feasibility before broader team investment.
- Mentor and guide technical teams and senior engineers; this role is weighted toward leadership and influence rather than direct people management.
- Research and evaluate emerging technologies, with particular attention to AI-driven approaches to metadata, entity resolution, and knowledge graph construction.
- Act as a strong, visible collaborator — someone other engineers, Architects, and Product partners want to work with, not just defer to.
Required Technical Background
- Bachelor’s degree in computer science or related discipline, or equivalent work experience.
- 12+ years of software development experience, with demonstrated experience operating at an Architect level or equivalent scope.
- Strong expertise in Java technologies.
- Hands-on experience with graph databases and graph data modeling/implementation.
- Working knowledge of RDF, N-Triples, and SPARQL — able to design, query, and reason about graph-based data structures, not just discuss them conceptually.
- Strong, practical experience leveraging AI technologies and AI-driven solutions in real engineering work (not just familiarity — genuine fluency).
- Deep understanding of:
- System design and architecture, particularly for graph-based and
Linked Data Systems
- Modernization initiatives and enterprise technical roadmaps
- Organizational technical strategy
- Proven ability to influence teams and drive technical decisions across multiple groups without direct management authority.
- Strong problem-solving and analytical skills; comfort operating in ambiguous, not-yet-fully-defined technical territory (e.g., early-stage Linked Data strategy work).
- Experience with distributed systems, microservices architecture, and cloud platforms.
- Willingness and ability to be hands-on — writing code, building POCs, and directly contributing to delivery, not purely an advisory/architectural role.
- Strong understanding of software architecture and design patterns.
Working Conditions: Normal office environment.
ADA/EEA: The above statements cover what are generally believed to be the principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.