# Sr. Manager; Data Engineering at Visa

Visa is hiring a Sr. Manager; Data Engineering in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Visa](https://jobsbylevel.com/go/3f88cdf5-9c0f-4687-820c-46e48194c577?utm_medium=ai-agent).

AI Level 1, AI centrality 16 out of 100. IN - Bengaluru, India.

## Details

- Company: [Visa](https://jobsbylevel.com/companies/visa)
- AI level: AI Level 1 (score 16 out of 100)
- Location: IN - Bengaluru, India
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/3f88cdf5-9c0f-4687-820c-46e48194c577?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-manager-data-engineering-at-visa-216e65

## 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: The Senior Manager, Data Engineering, provides people leadership and deep technical direction for the Visa Client Exchange Cloud Platform and Clean Rooms, a strategic FY27 priority. The role leads the engineering journey from pilot to production, enabling secure, scalable, privacy-preserving data collaboration and reliable data exchange across on-premises and cloud environments. Providing technical guidance across the Frontier Agentic Squad’s and extending platform leadership coverage across multiple region, this leader translates business priorities into architecture decisions, engineering roadmaps, and dependable production services. Success is measured through business opportunities enabled, platform reliability, delivery quality, and the growth and independence of engineering teams. This is a technically engaged management role requiring the credibility to challenge designs, review critical code, guide complex incident resolution, and develop technical leads without becoming a delivery bottleneck. The Senior Manager partners with Product, Architecture, Operations and Infrastructure (O&I), Cybersecurity, Risk, Privacy/Legal, and Finance to balance customer commitments, security, privacy, cost, and sustainable execution. 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: Own the technical roadmap and production delivery of VCDEP Clean Rooms and the cloud platform, aligned to customer and business outcomes. Guide architecture across AWS, Snowflake, and Databricks, balancing scalability, reliability, performance, security, and cost. Oversee high-volume data exchange between on-premises and cloud platforms, ensuring data quality, interoperability, and failure recovery. Embed privacy, security, query governance, and data lifecycle controls into platform design and operation. Drive operational excellence through clear service-level objectives, observability, incident management, and tested disaster recovery. Establish engineering standards for code quality, testing, CI/CD, security remediation, and safe platform upgrades. Hire, coach, and develop engineers and technical leads, fostering inclusion, accountability, and technical excellence. Provide technical leadership across squads, clarify ownership, resolve disagreements, and reduce single-person dependencies. Partner with Product, Architecture, Operations, Security, Risk, Privacy/Legal, and Finance to manage priorities, risks, and delivery commitments. Lead responsible adoption of AI-assisted and agentic engineering workflows, with human oversight and measurable improvements in productivity and quality. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a bachelor’s degree, OR 11+ years of relevant work experience. Experience leading engineering teams delivering large-scale data platforms or distributed systems, including production ownership, coaching, performance development, and cross-team technical guidance. Demonstrated technical depth in cloud architecture and data engineering, with substantial experience in at least one of AWS, Snowflake, or Databricks and the ability to evaluate

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