Data Engineer - Senior Consultant level

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

We’re building Visa’s next-generation GenAI Platform - the intelligent data and orchestration foundation powering AI applications, copilots, semantic search, and agentic systems across the enterprise and eventually for Visa clients globally. As a Data Engineer on the GenAI Platforms team, you will help architect and scale the data infrastructure that powers enterprise AI systems at global scale.

What You’ll Build

• Enterprise-scale retrieval and knowledge systems powering GenAI applications and AI agents
• Real-time and batch data pipelines supporting semantic search, embeddings, RAG, and orchestration workflows
• Intelligent context and indexing systems integrating structured and unstructured enterprise data
• AI-ready data infrastructure enabling scalable LLM applications and workflow automation
• Distributed streaming and event-driven architectures supporting AI-native applications
• Observability, evaluation, and governance systems for production AI data platforms

The Work Itself

Design and build scalable data platforms supporting LLM applications, AI agents, semantic search, and retrieval-augmented generation (RAG)

Develop high-throughput real-time and batch data pipelines integrating enterprise systems, APIs, documents, events, and knowledge sources

Build vector indexing, embedding pipelines, semantic retrieval systems, and intelligent context management frameworks

Engineer backend services and APIs enabling orchestration workflows, AI tool integrations, and enterprise automation use cases

Develop scalable data ingestion and transformation frameworks for structured and unstructured enterprise data

Optimize performance, reliability, latency, and scalability of distributed AI data systems operating at enterprise scale

Implement observability, lineage, monitoring, and evaluation frameworks for AI-powered data platforms

Partner with product managers, software engineers, data scientists, and platform teams to deliver secure, production-grade AI capabilities

Contribute reusable frameworks, platform tooling, and engineering best practices accelerating enterprise GenAI adoption

Explore emerging technologies across GenAI infrastructure, orchestration systems, vector databases, and cloud-native data platforms

Qualifications

• Basic Qualifications: 5+ years of relevant work experience with a bachelor’s degree -or- At least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) -or- 0 years of work experience with a PhD.
• Preferred Qualifications: Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience building enterprise GenAI platforms, semantic search systems, or AI data infrastructure Experience with vector databases, embedding pipelines, retrieval optimization, or knowledge graph systemsExperience implementing observability, lineage, evaluation, and governance frameworks for AI-enabled data systems Familiarity with cloud-native AI infrastructure and scalable ML/data platform architectures Exposure to payments, fintech, or highly regulated enterprise environments with stringent security and reliability requirements

The Skills You Bring

• AI-Native Data Engineering Experience building data systems supporting LLM applications, RAG architectures, semantic retrieval, embeddings, vector databases, or AI orchestration workflows.
• Strong expertise designing scalable distributed systems, streaming architectures, real-time pipelines, and large-scale data processing platforms.
• Retrieval & Knowledge Infrastructure Experience building semantic indexing systems, intelligent retrieval pipelines, metadata enrichment systems, or enterprise knowledge platforms.
• Real-Time Data Engineering Experience developing reliable event-driven and streaming systems using technologies such as Kafka, Spark, Flink, Hadoop, or similar large-scale processing frameworks.
• Production Platform Engineering Experience operationalizing secure, observable, and resilient production systems with strong focus on scalability, monitoring, governance, and reliability.
• Backend & API Engineering Ability to build backend services, APIs, orchestration integrations, and cloud-native components enabling intelligent applications and AI workflows.
• Cloud-Native Infrastructure Experience with Kubernetes, containerized deployments, CI/CD pipelines, infrastructure automation, and cloud platforms supporting distributed AI workloads.
• Data + AI Systems Thinking Ability to think beyond traditional ETL pipelines and design intelligent systems that provide context, retrieval, memory, and reasoning capabilities for AI applications.
• Builder Mentality Comfort operating in fast-moving environments with evolving AI technologies, ambiguous problem spaces, and platform-scale engineering challenges.

Skills Required

• Experience with vector databases, embedding pipelines, retrieval optimization, or knowledge graph systems.
• Experience implementing observability, lineage, evaluation, and governance frameworks for AI-enabled data systems.
• Familiarity with cloud-native AI infrastructure and scalable ML/data platform architectures.
• Exposure to payments, fintech, or highly regulated enterprise environments with stringent security and reliability requirements.

Salary Range

The estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable).

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

Work Hours

Variates upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

EEO Statement

Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status.