Cloud Data Platform Engineer

Northern Trust

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$137,400–$233,600 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $186k
$103k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $130,143–$202,482 — the shaded band above. At the midpoint, this role pays about $186k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Northern Trust

Northern Trust is a leading provider of wealth management, asset servicing, asset management, and banking services to corporations, institutions, and high-net-worth individuals. Industry: Financial Services & Asset Management

Northern Trust currently has 48 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 43 roles with salary data.

Most-posted roles

View all roles at Northern Trust

At a glance

TL;DR · Cloud Data Platform Engineer

The Cloud Data Platform Engineer joins the engineering team to design, implement, and operate a scalable, secure, and high-performance cloud-based data platform built on a modern Lakehouse architecture. This role focuses on building infrastructure for enterprise data, analytics, and AI workloads while driving automation, platform standardization, and self-service capabilities. The engineer will develop reusable Infrastructure as Code modules, manage CI/CD pipelines, and ensure robust governance, security, and cost efficiency across the platform. Key technologies include Databricks, Snowflake, Azure, AWS, Terraform, GitHub, and Python. Candidates should possess expertise in SQL, Java, or Scala, along with experience in tools like Apache Airflow, dbt, Kafka, and containerization via Docker and Kubernetes. The role solves complex data lifecycle challenges by providing reliable infrastructure for structured and unstructured data within a highly regulated environment requiring strict compliance standards.

What you'll do

  • Design and operate scalable cloud data platforms using Databricks, Snowflake, Azure, and AWS to support analytics and AI workloads.
  • Build and maintain a Lakehouse architecture for processing structured, semi-structured, and unstructured data at enterprise scale.
  • Implement Infrastructure as Code (IaC) using Terraform and other tools to automate platform provisioning and configuration management.
  • Develop GitHub-based CI/CD pipelines to automate deployment, testing, and operational workflows for the data platform.
  • Create reusable automation patterns, templates, and self-service tools to improve developer productivity and platform adoption.
  • Manage platform performance, cost optimization (FinOps), and scalability while ensuring high availability through disaster recovery strategies.
  • Enforce security, governance, and compliance standards including encryption, access controls, and audit capabilities for regulated environments.
  • Develop frameworks for data ingestion, transformation, orchestration, and monitoring across the entire data lifecycle.

What we're looking for

  • Bachelor’s degree in computer science, Data Engineering, or a related field; Master’s preferred.
  • 7+ years of experience in data engineering, cloud engineering, or platform engineering.
  • Hands-on experience with at least one major cloud provider such as Azure or AWS.
  • Strong experience with cloud data platforms like Snowflake and Databricks.
  • Proven expertise in DevOps engineering including infrastructure as code (IaC) and data object change management.
  • Proven expertise building data pipelines using tools like Azure Data Factory, Synapse, Airflow, dbt, or Kafka.
  • Proficiency in programming languages including SQL, Python, YAML, Java, or Scala.
  • Work Authorization.

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