Data Platform Lead - Scalable AWS Pipelines & Architecture

Coatesgroup; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Annual market competitive bonus program

Thrive Program with flexible work options

Global Wellness paid day off

Give Back Day for community impact

Job summary

Coatesgroup is seeking an experienced data engineer to architect and evolve a scalable AWS data platform that supports enterprise analytics. Candidates should have 6+ years of experience in data engineering and strong technical leadership skills.

Responsibilities include designing data pipelines and leading technical decisions. Benefits include a competitive bonus program, flexible work options, and dedicated wellness time.

Qualifications

• Ability to design scalable, secure, and cost-efficient data architectures.
• Strong technical problem-solving and decision-making skills.
• Deep hands-on experience within the AWS data ecosystem, including S3, Glue, and Redshift.

Responsibilities

• Architect and evolve a scalable, cost-efficient AWS data platform.
• Design and implement reliable data pipelines and processing frameworks.
• Lead foundational technical decisions across tooling and infrastructure.

Skills

Data architecture design

Problem-solving

CI/CD pipelines

Python

SQL

Infrastructure as code

AWS data ecosystem

Education

6+ years of experience in data engineering

Tools

Terraform

Airflow

Kafka

dbt

Job description

Coatesgroup is seeking an experienced data engineer to architect and evolve a scalable AWS data platform that supports enterprise analytics. Candidates should have 6+ years of experience in data engineering and strong technical leadership skills.

Responsibilities include designing data pipelines and leading technical decisions. Benefits include a competitive bonus program, flexible work options, and dedicated wellness time.