Director, Data Engineering

Visa

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$197,200–$315,700 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $256k
$138k $335k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $156,621–$262,950 — the blue band above. At the midpoint, this role pays about $256k versus about $210k 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 114 open roles on FindRole.

Listed pay typically runs $161,950–$259,450 across 110 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Director, Data Engineering

The Director, Data Engineering leads the design, development, and deployment of scalable, secure data pipelines, platforms, and ML/AI infrastructure. This role involves overseeing the integration of structured and unstructured data sources to support advanced analytics and AI initiatives while establishing technical standards, governance, and quality benchmarks. The leader will champion new tools to improve productivity and ensure system performance, security, and availability. Key technologies include Spark, Kafka, Hadoop, Apache Flink, Apache Pulsar, AWS Kinesis, and Google Cloud Pub/Sub. Candidates must possess expertise in data modeling, ETL/ELT pipelines, and storage engines like Apache Pinot, Iceberg, ClickHouse, Cassandra, and Redis. The role operates within a highly regulated financial services and payments domain, requiring the delivery of robust, data-driven business solutions and high-availability streaming infrastructure.

What you'll do

  • Lead the design, development, and deployment of scalable data pipelines and ML/AI infrastructure.
  • Oversee the integration of structured and unstructured data sources to support advanced analytics.
  • Establish and enforce data engineering best practices, technical standards, and governance protocols.
  • Ensure data security, privacy, compliance, and system availability across all engineering platforms.
  • Define and monitor key performance indicators to measure the success of data engineering activities.
  • Lead incident response and root cause analysis for data platform issues to ensure high reliability.
  • Mentor and coach a high-performing team of data engineers to foster a culture of innovation.
  • Partner with senior leadership to define and execute the enterprise data strategy.

What we're looking for

  • 10+ years of relevant work experience with a bachelor’s degree, or 13+ years of relevant work experience.
  • Work experience with a Bachelor’s Degree, with an Advanced Degree, or with a PhD (preferred).
  • Experience in leading large-scale data engineering teams and projects in a complex enterprise environment (preferred).
  • Experience in data architecture, ETL/ELT pipelines, data warehousing, and real-time data processing (preferred).
  • Experience with big data technologies such as Spark, Kafka, and Hadoop (preferred).
  • Experience in data modeling, data governance, and data quality frameworks (preferred).
  • Experience designing and building ML infrastructure to train or serve models (preferred).
  • Experience in financial services, payments, or a highly regulated industry (preferred).

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