Technical/Team Lead Java (Python, Graph DB)
Project description
We are looking for an experienced Technical Team Lead to lead the design and delivery of a modern analytics and valuation platform used in Private Equity and financial valuations. You will combine hands-on engineering, technical leadership, and domain-driven design to build scalable, data-intensive solutions that support complex ownership structures, valuation models, and investment analytics. This is a key role bridging engineering excellence and financial domain expertise, working closely with product, valuation professionals, and stakeholders.
Responsibilities
- Technical Leadership:
- Lead a cross-functional engineering team (backend, frontend, data)
- Own system architecture and technical design decisions
- Set engineering standards: code quality, performance, security, and scalability
- Mentor engineers and perform technical reviews
- Drive best practices in CI/CD, testing, and observability Hands-On Development:
- Design and implement backend services using Java and Python
- Design and optimize Graph Database models to represent complex ownership, fund, and valuation relationships
- Ensure high performance querying and analytics over interconnected financial data
- Collaborate on API design (REST / GraphQL) Domain & Stakeholder Collaboration:
- Work closely with Private Equity and Valuation experts, Business Analysts and SME's to translate business requirements into technical solutions
- Participate in data modeling for:
- Ownership structures
- Financial instruments
- Valuation methodologies
- Support data accuracy, transparency, and auditability
SKILLS
Must have
- Technical:
- 10+ years of hands-on experience in Java development.
- 4+ years experience managing development teams on a Team Lead position
- 4+ years experience coding in Python.
- Proven expertise with Graph Databases (Cypher, Gremlin, graph modeling, traversal algorithms).
- Proficiency with SQL and NoSQL databases
- Strong grasp of software architecture patterns
- proven People Management experience.
- Experience working with cloud environments (AWS).
- Good understanding of CI/CD pipelines, containerization (Docker/Kubernetes), and modern software engineering practices. Leadership:
- Proven experience leading engineering teams
- Ability to balance hands-on development with leadership responsibilities
- Strong communication skills with both technical and non-technical stakeholders Business:
- Experience in Private Equity, Asset Management, Valuations, or Financial Analytics
- Knowledge of financial modeling or valuation concepts (DCF, multiples, NAV)
Nice to have
• Experience in data-intensive or real-time processing environments. • Background in data visualization or analytical platforms • Exposure to regulatory or audit-related systems
