# KDB Development Lead

**Company**: Unknown
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $175,000 to $250,000
**Category**: IT
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q137915550

**Apply**: https://mlp.eightfold.ai/careers/job/755958979163?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bafb8eed-957

## Description

### Job Summary

We are seeking a KDB Development Lead to join our Information Technology team at Millennium in New York.

### About the Role

The KDB Development team builds and operates high-performance time-series data platforms using kdb+ and q, with a focus on the architecture, performance, reliability, and usability of real-time and historical databases.

### Responsibilities

- Lead, mentor, and develop a team of KDB/q engineers, establishing clear priorities, engineering standards, accountability, and ownership.

- Own the architecture and roadmap for kdb+ real-time and historical database platforms, including data ingestion, intraday processing, end-of-day workflows, storage, retention, recovery, and query access.

- Design and implement scalable q solutions for high-volume real-time and historical time-series data, with a focus on performance, reliability, and maintainability.

- Drive performance tuning across memory management, database partitioning and sym attributes, query patterns, indexing, process communication, and capacity planning.

- Build and maintain analyst-facing data-access tooling, including Jupyter notebook environments, q/Python integrations, reusable notebooks, and supported query libraries.

- Establish engineering best practices for code quality, automated testing, source control, CI/CD, release management, documentation, monitoring, and incident response.

- Embed data-quality controls, reconciliation processes, entitlements, auditability, and retention policies into platform design.

- Partner with trading, quantitative research, operations, data engineering, and infrastructure teams to deliver durable solutions; lead design and code reviews, production support, and continuous improvements following incidents.

### Requirements

- Significant experience developing and operating production systems using kdb+ and q, including the design, support, and tuning of real-time and historical database architectures.

- Expertise in real-time data ingestion, tickerplant-based or comparable streaming architectures, intraday recovery, end-of-day processing, and historical data management.

- Strong command of time-series data design, high-performance q queries, partitioned databases, memory management, and operational performance troubleshooting.

- Experience delivering analytical workflows through Jupyter notebooks, including q/Python interoperability and well-governed self-service data access.

- Demonstrated technical leadership and experience guiding engineers through delivery as a people manager, team lead, or senior technical lead.

- Strong software engineering discipline, including testing, code review, CI/CD, version control, and production release practices.

- Experience integrating KDB with adjacent technologies such as Python, Java, C++, APIs, messaging platforms including Solace or Kafka, and infrastructure tooling.

- Clear written and verbal communication skills, with the ability to partner effectively with technical and non-technical stakeholders in high-throughput, latency-sensitive environments.

### Benefits

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits.

### Salary Range

The estimated base salary range for this position is $175,000 to $250,000.

## Skills

### Required
- kdb+
- q
- time-series data design
- high-performance q queries
- partitioned databases
- memory management
- operational performance troubleshooting
- Jupyter notebooks
- q/Python interoperability
- software engineering
- testing
- code review
- CI/CD
- version control
- production release practices

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