Senior Manager, Data Engineering

Visa

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$192,100–$307,800 / yr
Employment
Full-time
Posted
51 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $250k
$106k $329k
below market most similar roles pay here above market

This role pays more than 91% of similar roles. Most pay $139,914–$214,900 — the blue band above. At the midpoint, this role pays about $250k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 115 open roles on FindRole.

Listed pay typically runs $156,800–$251,100 across 111 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Manager, Data Engineering

The Senior Manager, Data Engineering leads a team of engineers in designing, building, and overseeing the deployment of technology architecture and software to manage structured and unstructured data from internal and external sources. This role involves establishing processes, automations, and big data systems while ensuring data quality and creating machine learning pipelines. The manager provides technical leadership, removes blockers, and fosters an inclusive culture while partnering with product, risk, and security functions. Key technical requirements include experience with Big Data technologies like Hive, Hadoop, and Spark, along with proficiency in Java, Scala, or Python. Candidates should also possess skills in Graph databases, RESTful APIs, cloud platforms like AWS, Azure, or GCP, and experience applying GenAI and LLMs to improve data engineering workflows and team efficiency.

What you'll do

  • Lead a team of 8-10 engineers to design, build, and deploy scalable data architecture and software.
  • Establish processes, automations, and big data systems to manage structured and unstructured data from various sources.
  • Create machine learning pipelines and ensure high data quality across large distributed systems.
  • Serve as the primary technical point of contact to manage customer expectations and drive product adoption.
  • Design and implement secure, reliable, and performant systems that meet specific platform functional needs.
  • Mentor engineers on evolving tools, frameworks, and AI-driven workflows to foster a high-performance culture.
  • Evaluate and adopt emerging technologies, including Generative AI, to improve team productivity and system quality.
  • Partner with cross-functional teams to deliver safe, transparent, and customer-centric data solutions.

What we're looking for

  • 8+ years of relevant work experience with a Bachelor’s Degree, 5+ years with an Advanced Degree, 2+ years with a PhD, or 11+ years of experience.
  • 3+ years of relevant work experience managing engineering teams.
  • 5+ years of experience with Big Data technologies including Hive, Hadoop, and Spark.
  • 5+ years of experience with Java, Scala, or Python to write clean, production-quality prototypes and core components.
  • Experience with a Bachelor’s Degree, with an Advanced Degree, or with a PhD (preferred).
  • Experience with Graph databases, RESTful APIs, and cloud platforms like AWS, Azure, or GCP (preferred).
  • Hands-on experience applying GenAI and LLMs in data engineering and leading initiatives to improve team efficiency (preferred).
  • Experience with machine learning, AI-powered data solutions, and large-scale enterprise-class distributed systems (preferred).

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