Cloud Data Platform Engineer

Northern Trust

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$137,400–$233,600 / yr
Employment
Full-time
Posted
88 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $157k
This role $186k
$93k $249k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $126,800–$187,850 — the blue band above. At the midpoint, this role pays about $186k versus about $157k 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 107 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 77 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. This role focuses on building a modern Lakehouse architecture to support enterprise data warehousing, analytics, and artificial intelligence capabilities. The engineer will develop reusable platform services, automation patterns, and CI/CD pipelines to enable self-service data onboarding and operational excellence. Key responsibilities include managing infrastructure as code, enforcing security and governance standards like GDPR and SOC2, and optimizing platform costs. The position requires proficiency in Databricks, Snowflake, Azure, and AWS, along with hands-on experience in Terraform, Python, SQL, and Java. The role solves complex technical problems regarding data lifecycle management, reliability, and secure-by-design patterns within a highly regulated environment.

What you'll do

  • Design, implement, and operate cloud-based data platform services on Databricks, Snowflake, Azure, and AWS.
  • Build and maintain scalable Lakehouse architecture capabilities for structured and unstructured data at enterprise scale.
  • Implement CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform and GitHub.
  • Develop reusable platform services, templates, and automation patterns to enable self-service onboarding and provisioning.
  • Establish observability, monitoring, and alerting systems to ensure platform reliability and performance.
  • Enforce security, governance, and compliance standards including encryption, access controls, and audit capabilities.
  • Optimize cloud data platform performance and costs while providing tools for application teams to manage their own resources.
  • Develop frameworks for data ingestion, transformation, orchestration, and AI-powered workloads.

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 cloud infrastructure resource creation and IaAC.
  • Proven expertise in building data pipelines with 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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