Director, Data Engineering NA/LAC at Visa

Foster City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Payments, TechnologyIndustries

Requirements

Lead the Data Engineering Center of Excellence and oversee end-to-end data engineering delivery for the North America region
Design and build large-scale data pipelines, data lakes/warehouses, and streaming data integration
Ensure data ingestion, transformation, and publication processes are efficient, reliable, and aligned with enterprise standards
Champion an “assembly line” model to enable faster time-to-market for data products and solutions

Responsibilities

Deliver on Visa’s Data & Analytics democratization goals by expanding access to trusted, timely data and self-service analytics tools for internal teams. Lead the development of internal data products, APIs, and BI platforms that put actionable insights in the hands of decision-makers, in support of business lines such as Consumer Payments, Merchant, and others
Act as the bridge between the Global Data Office and regional business/technology teams, ensuring North America’s data engineering priorities are aligned with product roadmaps, analytics needs, and regional objectives. Partner closely with Data Science, Analytics, Product Management, and IT security teams to design data solutions that support AI/ML innovation (e.g. feature stores, AI-enabled platforms) and meet emerging business requirements
Stay at the forefront of data engineering and AI/ML technologies. Evaluate and implement new tools or methodologies (such as streaming analytics, containerization, automation/AI in data pipelines, or data lakehouse architectures) that can enhance Visa’s data capabilities. Drive proof-of-concepts and pilot projects for advanced data engineering solutions, and scale successful innovations across the enterprise
Ensure the reliability, efficiency, and security of Visa’s data infrastructure in North America. Oversee production operations for data pipelines and platforms, instituting best practices

Skills

Data Engineering

Data Pipeline

ETL

Big Data

Cloud Platforms

Data Architecture

Leadership

Data Strategy

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters

1958Year Founded

$55.8MTotal Funding

ANGEL_INDIVIDUALCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Director, Data Engineering NA/LAC at Visa

Requirements

Responsibilities

Skills

Visa

About Visa

Benefits

Health Insurance.

Life Insurance.

Dental Insurance.

Disability Insurance.

Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.

'Buy Now, Pay Later' services may decrease traditional credit card transactions.

Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.

The company focuses on financial inclusivity and sustainability in its operations.

Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.

Adoption of blockchain technology could revolutionize digital payments.

AI-driven fraud detection systems are reducing fraudulent activities.

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