Platform Engineering Lead - VP

Overview

Lead the design and delivery of scalable, cloud-native data and platform capabilities for the Enterprise Data Platform team in Pune, driving strategic technology decisions and enabling teams to build secure, high-performing platforms.

What you'll do

• Build and maintain data architectures and pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity and adhere to required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaborate with data scientists to build and deploy machine learning models.
• 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 an 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.
• Contribute to or set strategy, drive requirements, and make recommendations for change.
• Plan resources, budgets, and policies; manage and maintain policies and processes; deliver continuous improvements and escalate breaches of policies or procedures.
• Manage and mitigate risks through assessment in support of the control and governance agenda.
• Advise key stakeholders, including functional leadership teams and senior management, on functional and cross-functional areas of impact and alignment.

What you'll need

• 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.
• 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.
• 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.

Nice to have

• 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.

Details

• Location: Pune, Gera Commerzone SEZ.
• The role is based out of Pune.