# Senior Manager, Data Engineering

**Company**: Visa
**Location**: Bengaluru, IN
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/IN---Bengaluru-India/Sr-Manager--Data-Engineering_REF090416W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-manager-data-engineering-7a56a5fa-5b1/

## Description

We are seeking a Senior Manager, Data Engineering to provide people leadership and deep technical direction for the Visa Client Exchange Cloud Platform and Clean Rooms. This is a strategically important role that will lead the engineering journey from pilot to production, enabling secure, scalable, privacy-preserving data collaboration and reliable data exchange across on-premises and cloud environments.

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.

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 cross-platform integration trade-offs.

- Experience designing and operating high-volume data pipelines, ETL/ELT processes, and distributed processing systems, including data validation, performance optimization, failure recovery, and idempotent processing.

- Working proficiency in Python and SQL, with the ability to review production code and guide testing, API design, version control, CI/CD, and secure development practices.

- Experience implementing secure data access, encryption, auditability, and data lifecycle governance in partnership with security, risk, privacy, or compliance teams.

- Experience troubleshooting complex production issues and establishing monitoring, operational documentation, incident response, and reliability improvements.

- Demonstrated ability to develop technical leads, delegate ownership, resolve disagreements, and influence teams outside direct reporting lines.

- Experience translating business needs into technical roadmaps and measurable outcomes, with clear communication of architectural trade-offs and individual versus team contributions.

- Digital fluency and the ability to evaluate AI-assisted engineering workflows for usefulness, quality, security, and appropriate human oversight.

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## Skills

### Required
- AWS
- Snowflake
- Databricks
- Python
- SQL
- data engineering
- cloud architecture
- data pipelines
- ETL/ELT
- distributed processing systems

### Nice to have
- Azure
- GCP
- AI-assisted engineering workflows
- agentic engineering workflows

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/IN---Bengaluru-India/Sr-Manager--Data-Engineering_REF090416W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)