Cloud Infrastructure Engineer - Data Platforms

Embark on a transformative journey as a Cloud Infrastructure Engineer – Data Platforms. Join our team and use your cloud architecture expertise to build the next-generation AWS data platform for a leading financial institution. In your role as role, you will design, build, and operate a scalable, secure, and compliant cloud data platform on AWS that powers analytics, reporting, and data science across our capital markets business. You’ll collaborate with data engineers, analytics teams, and business stakeholders to deliver robust data infrastructure and shared services, enabling data-driven insights and innovation while meeting rigorous security and regulatory standards.

To be successful as a Cloud Infrastructure Engineer – Data Platforms, you should have experience with:

• AWS-native Data Platforms: Designing, building, and operating production-grade AWS data platform infrastructure (e.g. S3-based data lakes, lakehouse architectures, metadata catalogs) and delivering shared data services for analytics and machine learning at scale

• Infrastructure as Code: Defining and managing cloud environments using infrastructure-as-code tools such as Terraform, CloudFormation, or equivalent frameworks, ensuring repeatable and version-controlled provisioning of AWS resources

• Cloud Automation & CI/CD: Developing cloud automation and CI/CD pipelines for deploying data platform components, with an automation-first mindset to streamline releases, environment promotion, and operations

• Data Processing & Orchestration: Building batch and streaming data pipelines using cloud-native processing frameworks and orchestration tools – for example, Apache Spark on AWS (EMR) or AWS Glue for big data jobs, and workflow orchestrators like Apache Airflow or AWS Step Functions to manage complex data workflows

• Python & Tooling: Strong Python programming skills for developing platform automation, internal tools, and system integrations. Ability to script and automate tasks, build custom utilities, and interface with AWS services and APIs in Python

Other highly valued skills may include:

• Security & Networking Fundamentals: Solid understanding of AWS networking and security (VPC design, IAM, data encryption, key management, etc.) and experience implementing data access controls and compliance measures in a regulated enterprise environment

• Platform Engineering Mindset: Familiarity with platform engineering concepts – for instance, building self-service data infrastructure and “paved road” frameworks that make it easy for data teams to use the platform consistently and safely

• Cost Optimization & Performance: Experience with cost management, performance tuning, and capacity planning for large-scale cloud data systems. Ability to monitor usage, right-size resources, and optimize data processing jobs to balance cost and speed

• Operational Excellence: Commitment to operational excellence with data platforms – including implementing robust observability, data quality checks, incident response processes, and conducting post-incident reviews to continuously improve reliability

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in Whippany, New Jersey.

Minimum Salary: $170,000

Maximum Salary: $230,000

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.