Data Engineering Manager — Lead Data Platforms & Teams

Corient; United States; On-site; USD 130,000 - 160,000; Full time

Job summary

Corient is seeking an experienced Data Engineering Lead who will lead and mentor a team of data engineers for critical data projects. The role requires strong expertise in data engineering processes and tools. The ideal candidate has 8-12+ years of relevant experience and a solid background in financial services or technology. Responsibilities include overseeing data operations and establishing best practices. Effective communication and problem-solving skills are essential. This position is based in the United States.

Qualifications

• 8-12+ years of experience in data engineering, data platform development, or analytics engineering.
• 3-5+ years of experience leading engineering teams.
• Background in Financial Services, consulting, or high-growth technology environments preferred.
• Proven experience building enterprise data platforms supporting reporting and analytics.
• Hands-on experience with data modeling, ETL/ELT pipelines, and analytics engineering.

Responsibilities

• Lead, mentor, and develop a team of data engineers.
• Establish engineering best practices across data operations.
• Design, architect, develop, and maintain scalable data pipelines.
• Implement automated QA analytics to ensure data integrity.
• Support cross-functional teams in delivering data solutions.

Skills

Data engineering

Leadership

Data modeling

SQL

Python

Data operations

Analytical skills

Problem-solving

Communication

Attention to detail

Education

Degree in data, computer science, or related discipline

Tools

ETL/ELT tools

DBT

Job description

Corient is seeking an experienced Data Engineering Lead who will lead and mentor a team of data engineers for critical data projects. The role requires strong expertise in data engineering processes and tools. The ideal candidate has 8-12+ years of relevant experience and a solid background in financial services or technology. Responsibilities include overseeing data operations and establishing best practices. Effective communication and problem-solving skills are essential. This position is based in the United States.