Data & AI Architect / Lead Data Engineer

Gen 2 Careers•New York, NY

6d•$220,000 - $260,000•Hybrid

About The Position

Data & AI Architect / Lead Data Engineer Who is Gen II? Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. Gen II has more than $1 trillion in private fund capital assets under administration. With offices in the US and Europe, we’re looking for do-ers, problem-solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives. Careers mean more at Gen II – more opportunity, more innovation, and more ideas! You’ll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You’ll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us. Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well-being. www.gen2fund.com What’s the role? Lead in-house/ partner technical teams to design and build the technical foundation that transforms fragmented fund data into a coherent, scalable, and secure data platform. This hybrid role combines architectural vision with hands-on technical leadership, integrating AI/ML capabilities to deliver the data proposition and associated roadmap.

Requirements

8+ years data architecture and engineering experience in financial services
Bachelor’s Degree in Computer Science, Software Engineering or related filed.
Proven experience designing and implementing enterprise data platforms from scratch
Strong background in fund administration, asset management, or alternative investments data
Hands-on experience with modern data platforms (Snowflake, Databricks, Azure Synapse)
Experience leading technical teams and working with partners
Expert-level SQL and strong programming skills in Python (required), with knowledge of Scala/Java (preferred)
Deep expertise in data modelling: dimensional modelling, data vault, graph databases
Hands-on with data orchestration tools and transformation frameworks
Strong API design experience and microservices architecture
Cloud platform expertise, particularly Azure
Experience with AI/ML frameworks and integration (LLMs, document processing, predictive models)
DevOps practices
Deep understanding of fund administration data flows: NAV, capital calls, distributions, waterfall calculations
Familiarity with fund accounting systems and their data structures
Knowledge of regulatory reporting requirements and data governance in financial services
Understanding of private equity fund structures, investment strategies, and performance metrics