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Lead Data Engineer

Selby JenningsManhattan, NY🇺🇸United StatesPosted 20 Aug 2026

Why This Role Stands Out

This hybrid Lead Data Engineer role offers a fantastic opportunity to shape the future of a cutting-edge data platform, leveraging your expertise in Python, SQL, Snowflake, and AWS to build scalable, AI-enhanced solutions. You'll thrive here if you're a driven mid-senior engineer with a passion for technical leadership, mentorship, and delivering impactful data products within a collaborative environment. Apply now to drive innovation and grow your career!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Manhattan, NY, United States
Posted
19 hours ago
SQLAWSSnowflakeAirflowLLMPython

Job Description



Responsibilities

  • Lead the development of cloud-based data platforms, pipelines, and data products leveraging Python, SQL, Snowflake, and AWS.
  • Build scalable solutions for a variety of data sources, including market, alternative, and enterprise datasets.
  • Enhance the firm's data platform through APIs, automation, metadata management, and emerging AI-driven capabilities.
  • Improve data reliability through quality controls, monitoring, testing, and operational best practices.
  • Troubleshoot complex data issues and implement long-term solutions to improve platform stability.
  • Design efficient data models and datasets that support analytics, reporting, and quantitative research.
  • Collaborate with investment, research, and technology teams to deliver scalable data solutions.
  • Provide technical leadership through architecture guidance, code reviews, mentorship, and engineering best practices.
  • Drive projects from design through production while influencing the future direction of the data platform.
  • Opportunity to mentor and potentially lead a growing team of engineers.


Qualifications

  • Experience building and supporting enterprise-scale data platforms and pipelines.
  • Strong programming skills in Python and SQL.
  • Expertise with Snowflake or a similar modern cloud data warehouse.
  • Hands-on experience designing and deploying solutions within AWS.
  • Experience with workflow orchestration tools such as Airflow.
  • Knowledge of relational and NoSQL database technologies.
  • Strong understanding of data modeling, data architecture, and large-scale data processing.
  • Proven ability to lead technical initiatives and deliver complex projects.


Preferred Qualifications

  • Experience with Go or other backend development languages.
  • Background in platform engineering or service-oriented architectures.
  • Exposure to AI/LLM-powered data solutions and automation.
  • Experience within financial services, investment management, trading, or market data environments.
  • Track record of building highly reliable and scalable data systems.

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