Lead Data Platform Engineer: Pipelines & Infra

Keystone; New York (NY); On-site; USD 186,000 - 221,905; Full time

Benefits offered by this job

401k contributions

Competitive benefits package

Job summary

A premier consulting firm in New York is looking for a senior individual contributor to lead data workflows and architect scalable infrastructure. You will develop, guide, and implement technical solutions to ensure effective delivery of data-intensive projects. With a focus on data engineering and applied analytics, this role involves mentoring, shaping technical standards, and assisting cross-disciplinary teams. Ideal candidates will have extensive experience in data engineering and cloud technologies.

Qualifications

• 6+ years of experience in data engineering or software engineering roles.
• Deep proficiency in Python, SQL, and modern data stack tools.
• Strong understanding of cloud architecture and Infrastructure as Code.

Responsibilities

• Lead the design and implementation of scalable data workflows.
• Architect infrastructure and guide technical implementation.
• Mentor junior engineers and foster adoption of best practices.

Skills

Data Engineering

Python

SQL

Cloud Architecture

Infrastructure as Code

Collaboration

Education

Bachelor’s or advanced degree in Computer Science, Engineering, or related field

Tools

AWS

GCP

Azure

Snowflake

Airflow

dbt

Spark

Job description

A premier consulting firm in New York is looking for a senior individual contributor to lead data workflows and architect scalable infrastructure. You will develop, guide, and implement technical solutions to ensure effective delivery of data-intensive projects. With a focus on data engineering and applied analytics, this role involves mentoring, shaping technical standards, and assisting cross-disciplinary teams. Ideal candidates will have extensive experience in data engineering and cloud technologies.