VP, Data Engineer (KDB Developer)
Core
Lead the build of a next-gen, real-time, cloud-native analytics platform powered by kdb+ and AI-driven analytics for digital and traditional finance markets.
Role type
VP, Data Engineer (KDB Developer)
Builds
Real-time ingestion processes, kdb Insights (KDB-X) modules, packages, pipelines, and SRE tools for q, Python, and Java processes.
Domain
Digital assets, data center infrastructure, real-time financial data processing
Deliverable
production ML models
Required skills
kdb+/q development, large-scale kdb+ platform deployment, kdb Insights (microservices, packages, pipelines, UDAs), Kubernetes, Python data processing, PyKX
Preferred skills
Datadog dashboards, Databricks integration, AI coding agents, crypto products and markets
Technologies
kdb+, AWS, Kubernetes, Python, PyKX, Datadog, Databricks, q, Java
Responsibilities
Ensure stability and quality of real-time ingestion processes; Build and support kdb Insights modules, packages and pipelines; Develop performant queries and functions for trading desks; Build SRE tools for proactive detection of performance bottlenecks.
Seniority
VP, strategic leadership with hands-on technical execution