Cloud Data Platform Engineer
Northern Trust
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Benefits offered by this job
Job summary
Northern Trust is seeking a Cloud Data Platform Engineer to design, implement, and operate a scalable cloud-based data platform enabling analytics and AI workloads across Databricks, Snowflake, Azure, and AWS.
You will drive automation, platform standardization, and self-service capabilities with governance and security baked in, partnering with architects, product owners, and application teams to accelerate innovation and ensure reliability.
Qualifications
- Bachelor’s degree in computer science, data engineering, or related field; Master’s preferred.
- 7+ years of experience in data/cloud/platform engineering.
- Hands-on with Azure or AWS; strong cloud data platforms (Snowflake, Databricks).
- Proven DevOps experience including IaC and automated deployment.
- Experience building data pipelines with Azure Data Factory/Synapse, Airflow, dbt, Kafka.
Responsibilities
- Design, implement, operate, and improve cloud-based data platform services and infrastructure for analytics and AI workloads on Databricks, Snowflake, Azure and AWS.
- Build scalable Lakehouse architecture and implement CI/CD, IaC, and configuration management.
- Develop platform services, automation, and self-service onboarding and governance.
- Design and maintain GitHub-based CI/CD pipelines for provisioning and deployment.
- Create reusable data workflows, monitoring, and automation for data ingestion and processing.
- Collaborate with architects, data scientists, and engineers to define standards and roadmaps.
Skills
Education
Tools
Job description
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.
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
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.
- 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.
- 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 GitHub-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 discoverability, and enterprise-wide data democratization.
- Evaluate emerging cloud data services and recommend adoption based on enterprise needs.
- Provide technical expertise in designing cloud-based data architectures and solutions.
- Collaborate with architects and engineering teams to define platform standards, design patterns, and technical roadmaps.
- Partner with data scientists, BI teams, and application developers to enable them with advanced analytics and AI/ML workloads.
- Mentor junior engineers and contribute to best practices in cloud engineering and data development.
- Bachelor’s degree in computer science, Data Engineering, or 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 (Azure, AWS).
- Strong experience with Cloud Data platform like Snowflake and Databricks.
- Proven expertise in Devops engineering including cloud infrastructure resources creation, Data object change management and other IAAC’s.
- Proven expertise in building data pipelines with tools like Azure data factory, Synapse, Apache Airflow, dbt, Kafka, or similar.
- Proficiency in infrastructure-as-code (Github, Copilot, Terraform, yaml, Azure Devops, devSecops, CloudFormation, Pulumi).
- Experience in cloud data platform like Databricks or Snowflake.
- Experience in programming languages (Sql, Python, yaml, Java, or Scala).
- Deep understanding of cloud-native data services (e.g., Azure Synapse, Data Factory, Azure App services, AWS Redshift, Glue, S3, Athena).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Proficiency in infrastructure-as-code (Github, Copilot, Terraform, yaml, Azure Devops, devSecops, CloudFormation, Pulumi).
- Knowledge of FinOps principles for cost-efficient data platform design.
- Strong problem-solving, communication, and cross-functional collaboration skills.
- Experience operating cloud platforms within regulated environments with strong governance, audit, security, and compliance requirements preferred.
- Uptime, performance, and reliability of the cloud data platform.
- Data availability, quality, and accessibility for business and analytics use cases.
- Efficiency and scalability of data pipelines and processing.
- Adoption and effectiveness of automation, Infrastructure as Code, and self-service platform capabilities.
- Cost optimization and resource utilization of cloud data services.
- Adoption and satisfaction of data platform services by business and analytics teams
$137,400 - 233,600 USD
- Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits.
- Northern Trust also provides a discretionary bonus program that may include an equity component.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.
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