Lead Data Engineer: Cloud Data Pipelines & AI

Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

On-site two days a week

Job summary

Fitch Group seeks a Lead/Principal Data Engineer in New York to architect end-to-end data pipelines on cloud platforms such as Snowflake, Databricks, and AWS. You will design scalable data solutions, mentor engineers, and drive governance across data systems.

The role emphasizes collaboration with data scientists and business stakeholders in a hybrid work environment. The ideal candidate has 8+ years in data engineering with 3+ years in leadership, deep Java/Spring Boot expertise, and strong

Qualifications

• Minimum 8+ years of data engineering experience with at least 3+ years in a lead role.
• Expert-level Java and Spring Boot experience for cloud-native data processing on Docker/Kubernetes.
• Deep hands-on experience with Snowflake, Databricks, Airflow, and modern data stacks.

Responsibilities

• Lead end-to-end data pipelines and architectures on cloud platforms (Snowflake, Databricks, AWS).
• Design and implement CI/CD pipelines with GitHub Actions and automate testing and security checks.
• Mentor data engineers, set coding standards, and conduct architecture reviews.

Skills

Java

Spring Boot

Leadership

Data pipelines design

Communication

Problem solving

Agile

Education

Bachelor's degree in CS/InfoTech

Tools

Docker/Kubernetes

Snowflake

Databricks

Airflow

PostgreSQL

MongoDB

GitHub Actions

Job description

Fitch Group seeks a Lead/Principal Data Engineer in New York to architect end-to-end data pipelines on cloud platforms such as Snowflake, Databricks, and AWS. You will design scalable data solutions, mentor engineers, and drive governance across data systems.

The role emphasizes collaboration with data scientists and business stakeholders in a hybrid work environment. The ideal candidate has 8+ years in data engineering with 3+ years in leadership, deep Java/Spring Boot expertise, and strong