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Lead Data Engineer

• Posted 3 days ago • Updated 3 days ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Meta-data Management
Testing
Analytics
Reporting
Quantitative Research
Collaboration
Research
IT Management
Mentorship
Python
SQL
Snow Flake Schema
Cloud Computing
Data Warehouse
Amazon Web Services
Workflow
Orchestration
NoSQL
Database
Data Modeling
Data Architecture
Data Processing
Backend Development
Artificial Intelligence
Financial Services
Investment Management
Trading
Market Analysis

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24692327
Posted 3 days ago

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