# Sr. Manager; Data Engineering at Visa

Visa is hiring a Sr. Manager; Data Engineering in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Visa](https://jobsbylevel.com/go/595cf64a-998f-4b5b-a2ba-11142439f4a0?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. IN - Bengaluru, India.

## Details

- Company: [Visa](https://jobsbylevel.com/companies/visa)
- AI level: AI Level 3 (score 67 out of 100)
- Location: IN - Bengaluru, India
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/595cf64a-998f-4b5b-a2ba-11142439f4a0?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-manager-data-engineering-at-visa-7c9236

## Prepare for this job

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## Description

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: Visa's Data Trust & Platform Engineering (DTPE) organization delivers the foundational platforms that power Visa's enterprise data, analytics, AI, and cloud ecosystem. DTPE is responsible for advancing secure, scalable, governed, and resilient data platform capabilities spanning hybrid-cloud infrastructure, compute, storage, streaming, orchestration, data governance, privacy, quality, and platform engineering services. We are seeking an experienced Senior Manager, Platform Engineering to lead a team of highly skilled engineers responsible for building, operating, and modernizing critical platform services that power Visa's data, analytics, and AI ecosystem. This leader will drive engineering execution, platform reliability, cloud transformation, automation, and customer success while fostering a culture of technical excellence and innovation. The ideal candidate combines strong technical depth, people leadership, operational excellence, and a passion for building scalable platforms that serve enterprise-wide customers. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Technical & Platform Leadership: Lead the design, development, deployment, and operation of large-scale platform engineering solutions supporting analytics, AI, data processing, and enterprise workloads. Drive architecture and implementation of highly scalable, reliable, secure, and cost-efficient platform services. Partner closely with architects, principal engineers, and product stakeholders to define technical roadmaps and engineering priorities. Lead platform modernization initiatives across hybrid-cloud environments, cloud-native architectures, container platforms, and developer self-service capabilities. Establish engineering standards and best practices covering scalability, resiliency, observability, automation, security, and performance. Cloud & Data Platform Engineering: Lead adoption of cloud-native technologies across AWS, Azure, Kubernetes, Databricks and modern platform engineering ecosystems. Drive development of reusable platform services for data engineering, analytics, AI/ML workloads, and enterprise applications. Enable large-scale distributed compute and storage platforms supporting petabyte-scale data processing. Build and operationalize data platform capabilities including orchestration, streaming, metadata management, governance, and workload automation. Improve platform efficiency, utilization, and cost optimization through automation and infrastructure engineering. Engineering Delivery & Operational Excellence: Own engineering execution, service delivery, platform availability, and customer commitments. Drive continuous improvements in reliability, scalability, incident reduction, and operational maturity. Lead production readiness reviews, incident management, root-cause analysis, and remediation efforts. Define and track operational KPIs including service availability, latency, reliability, customer satisfaction, and engineering productivity. Champion Site Reliability Engineering (SRE) principles, observability, alerting, and capacity planning practices. Generative AI & Intelligent Engineering: Drive adoption of GenAI-powered engineering capabilities including AI-assisted development, code

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-manager-data-engineering-at-visa-7c9236

Source: https://jobsbylevel.com/jobs/sr-manager-data-engineering-at-visa-7c9236

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