Cloud Data Platform Engineer | Lakehouse, AI & Automation

Ntrs; Chicago (IL); On-site; USD 137,000 - 234,000; Full time

Job summary

Northern Trust is seeking a Cloud Data Platform Engineer to design and evolve a scalable, secure, and high-performance cloud data platform for analytics, AI, and data warehousing. You will partner with architects, product owners, and application teams to deliver self-service data services and ensure governance, security, and cost efficiency.

Responsibilities include building automated provisioning, CI/CD pipelines, and reusable platform patterns on Databricks, Snowflake, Azure, and AWS, while

Qualifications

• Bachelor’s degree in computer science, data engineering, or related field.
• 7+ years of experience in data engineering, cloud engineering, or platform engineering.
• Hands-on experience with at least one major cloud provider (Azure, AWS).
• Strong experience with Cloud Data platforms like Snowflake and Databricks.
• Proven expertise in DevOps and IaC practices.

Responsibilities

• Design, implement, operate, and evolve a scalable cloud data platform.
• Collaborate with architects, product owners, and developers to deliver data services.
• Develop automation patterns and reusable platform services to boost productivity.
• Establish governance, security, and cost controls across the platform.

Skills

Databricks

Snowflake

Terraform

Kubernetes

Python

SQL

CI/CD

Education

Bachelor’s degree in CS or related

Master’s preferred

Tools

GitHub

Azure DevOps

Docker

Job description

Northern Trust is seeking a Cloud Data Platform Engineer to design and evolve a scalable, secure, and high-performance cloud data platform for analytics, AI, and data warehousing. You will partner with architects, product owners, and application teams to deliver self-service data services and ensure governance, security, and cost efficiency.

Responsibilities include building automated provisioning, CI/CD pipelines, and reusable platform patterns on Databricks, Snowflake, Azure, and AWS, while