Cloud Data Platform Engineer - Northern Trust Corp.

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Job Title: Cloud Data Platform Engineer

Position Overview:

The Cloud Data Platform Engineer is responsible for designing, implementing, operating, and evolving a scalable, secure, reliable and high-performance cloud-based data platform that enables data warehousing, analytics, artificial intelligence capabilities, and business-critical data platform services built on a modern Lakehouse architecture. This role partners with architects, product owners, and application teams to deliver modern data platform capabilities that accelerate innovation while ensuring operational excellence, governance, security, and cost efficiency. The engineer drives automation, platform standardization, and continuous improvement to provide reliable and self-service data services across the organization.

Key Responsibilities:

Platform Engineering & Development

• Design, implement, operate, and continuously improve cloud-based data platform services and infrastructure supporting enterprise data, analytics, and AI workloads on technologies including Databricks, Snowflake, Azure and AWS.
• Support self-service data platform capabilities by developing standardized onboarding, provisioning, and operational processes for platform consumers.
• Engineer reusable platform services, templates, and automation patterns that accelerate developer productivity and platform adoption.
• Integrate cloud data services with enterprise applications, APIs, and third-party technologies.

Cloud Infrastructure and Automation

• Build and maintain scalable Lakehouse architecture capabilities that support structured, semi-structured, and unstructured data at enterprise scale.
• Implement CI/CD, Infrastructure as Code (IaC), and configuration management practices using enterprise-standard automation and deployment tools including Terraform and automated provisioning.
• Develop and maintain reusable Infrastructure as Code modules, deployment templates, and platform blueprints to ensure standardization and operational consistency.