Sr. Manager, Data Engineering

Visa Visa · Fintech · Bengaluru, India, IN

Sr. Manager, Data Engineering at Visa in Bengaluru, India. This role is part of the Global Data Office and focuses on leading a team of data engineers and serving as a hands-on architectural leader. Responsibilities include designing scalable data solutions, setting engineering standards, and driving framework-led development. The role requires strong experience in data engineering, technical leadership, data modeling, ETL/ELT, and cloud-native platforms, with exposure to data governance and AI/ML workloads.

What you'd actually do

  1. leading a team of data engineers while serving as a hands‑on architectural leader
  2. designing scalable, reusable data solutions
  3. setting engineering standards and best practices
  4. driving framework‑led development to improve efficiency, quality, and speed of delivery across the data ecosystem

Skills

Required

  • 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience
  • 10+ years of experience in data engineering
  • at least 3 years in a technical leadership or people management role
  • Strong hands‑on experience designing and building large-scale data platforms using modern data engineering stacks
  • Proven experience defining standards, frameworks, reusable components, and reference architectures
  • Deep understanding of data modeling (star/snowflake, domain‑oriented models), ETL/ELT patterns, and data quality engineering
  • Experience driving automation and efficiency through framework‑led or platform‑based approaches
  • Strong leadership, communication, and stakeholder management skills

Nice to have

  • Familiarity with cloud-native data platforms, streaming architectures, and modern orchestration tools
  • Exposure to data governance, metadata management, and observability frameworks
  • Experience supporting BI, analytics, and AI/ML workloads at scale
  • Experience operating in a COE or platform model supporting multiple product or analytics teams