Platform Engineering Lead - VP

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. 

• 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.

• 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.

We are seeking an experienced Platform Engineering Lead to join the Enterprise Data Platform team in Pune. The role focuses on leading the design and delivery of scalable, cloud-native data and platform capabilities, driving strategic technology decisions, and enabling teams to build secure, high-performing platforms that accelerate innovation across the organization.

Key Responsibilities

• Lead the design and delivery of distributed, event-driven, and data-intensive systems into production environments.
• Drive platform engineering initiatives across cloud-native services, infrastructure as code, CI/CD pipelines, and secure-by-design architecture.
• Provide technical leadership and guidance to engineering teams, ensuring alignment with enterprise standards and best practices.
• Influence architecture, security, product, and delivery stakeholders to drive pragmatic technology outcomes.
• Navigate governance frameworks and regulatory requirements in a complex enterprise environment.
• Champion automation-first mindset and production-grade engineering practices across platform delivery.
• Build and promote reusable self-service platform capabilities, onboarding models, and integration frameworks.
• Oversee observability, alerting, incident handling, resilience, and continuous improvement for business-critical platforms.
• Ensure solutions meet Barclays standards for Security, Data Privacy, Resilience, and Operational Risk.

Required Skills:

Platform & Data Engineering

• Proven software engineering experience designing and delivering distributed, event-driven, or data-intensive systems into production.
• Strong engineering judgement and automation-first mindset enabling robust, scalable, and efficient technology solutions.
• Strong expertise in cloud-native services, infrastructure as code, and scalable platform patterns.
• Deep understanding of CI/CD pipelines, deployment automation, and secure-by-design architecture principles.
• Experience with production-grade engineering practices driving reliable and secure platform delivery at scale.
• Knowledge of platform resilience, recovery strategies, and operational excellence.

Technical Leadership

• Demonstrated technical leadership experience in regulated or complex enterprise environments.
• Strong stakeholder management skills with ability to influence architecture, security, product, and delivery stakeholders.
• Experience guiding and mentoring engineering teams through complex technical challenges.
• Ability to navigate governance frameworks and drive alignment between business objectives and technology execution.
• Strong engineering judgement with focus on pragmatic, scalable solutions.

Engineering Practices

• Strong understanding of the Software Development Lifecycle (SDLC) and Agile/Scrum methodologies.
• Commitment to secure coding, code quality, and engineering best practices.
• Strong analytical and problem-solving skills with ability to resolve complex production issues.
• Experience with observability, monitoring, alerting, and incident management.

Preferred Skills

• Proficiency in containerization and orchestration technologies, including Docker and container runtime management.
• Strong hands-on experience with Kubernetes, including deployment strategies, scaling, troubleshooting, and Helm chart management.
• Expertise in Infrastructure as Code tools such as CloudFormation and Terraform for provisioning and managing cloud infrastructure.
• Hands-on exposure to streaming and data platform technologies such as Kafka, Kafka Streams, Flink, Schema Registry, event schemas, connectors, or real-time data pipelines.
• Production operations experience covering observability, alerting, incident handling, resilience, recovery, and continuous improvement for business-critical platforms.
• Experience creating reusable self-service platform capabilities, onboarding models, or integration frameworks that enable teams to adopt platform services safely and efficiently.
• Experience with AWS Cloud Services and cloud-native application development.

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

The role is based out of Pune.