Cloud Data Platform Engineer

About Northern Trust 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.

• 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.
• Develop platform services, automation, and documentation that enable self-service onboarding, provisioning, governance, and operational management.
• Design and maintain Git Hub-based CI/CD pipelines to automate platform provisioning, application deployment, testing, and operational workflows.
• Build reusable frameworks and automation for data workflows, monitoring, and scaling.
• Develop and optimize frameworks that enable data ingestion, transformation, orchestration, processing, and AI-powered workloads across the platform ensuring a reliable and efficient data lifecycle.

• Continuously optimize Cloud Data platform performance, cost, and scalability, including providing tools to application teams to support them in this process.
• Implement Resiliency solutions including disaster recovery, backup, and failover strategies that meet enterprise standards and take full advantage of automation.
• Establish observability, monitoring, alerting, and operational tooling to ensure platform reliability, availability, and performance.
• Enforce governance, security, and compliance standards (e.g., GDPR, HIPAA, SOC2).
• Implement and maintain secure-by-design platform patterns, access controls, encryption standards, and audit capabilities.
• Work with architects and security teams to implement role-based access, encryption, and audit controls.
• Support metadata management, data…