Senior Manager, Data Engineering

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$192,100–$307,800 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $250k
$118k most similar roles pay here $328k

This role pays more than 91% of similar roles. Most pay $148,768–$219,131 — the shaded band above. At the midpoint, this role pays about $250k versus about $184k 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 93 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 92 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 automated big data systems, ensuring data quality, troubleshooting large distributed systems, and creating machine learning pipelines. The manager provides technical leadership by driving planning, architecture, and development while fostering an agile engineering culture. Key technologies include Hive, Hadoop, Spark, Java, Scala, Python, Graph databases, RESTful APIs, and cloud platforms like AWS, Azure, or GCP. The role also focuses on integrating Generative AI and LLMs into data engineering workflows to improve efficiency. This position addresses the technical challenge of building secure, high-availability, low-latency distributed systems while collaborating with cross-functional teams to deliver safe, customer-centric solutions in a complex data environment.

What you'll do

  • Lead a team of 8-10 engineers in designing, building, and deploying scalable data architecture and software.
  • Serve as the technical lead for products by driving planning, architecture, and hands-on development.
  • Manage customer engagement by acting as the primary technical point of contact and driving product adoption.
  • Design and implement secure, reliable systems to manage structured and unstructured data from various sources.
  • Create machine learning pipelines and integrate GenAI tools to improve team productivity and data quality.
  • Mentor engineers and foster an agile culture focused on high-quality production deployments.
  • Partner with cross-functional teams like product, risk, and security to deliver safe, customer-centric solutions.

What we're looking for

  • Hold a Bachelor's degree with 8+ years of experience, an Advanced Degree with 5+ years, a PhD with 2+ years, or 11+ years of relevant experience.
  • Have at least 3 years of experience managing engineering teams.
  • Have 5+ years of experience with Big Data technologies including Hive, Hadoop, and Spark.
  • Have 5+ years of experience with Java, Scala, or Python to develop production-quality code.
  • Experience with Graph databases and RESTful APIs (preferred).
  • Hands-on experience applying GenAI and LLMs in data engineering to improve team efficiency (preferred).
  • Experience with cloud platforms (AWS, Azure, GCP), machine learning, and high-availability distributed systems (preferred).
  • Proven track record of leading large-scale projects and cross-functional teams in a matrixed organization (preferred).

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