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Data Engineer - Sr. Consultant level- Core Data Assets - job 16 of 21

The Data and Artificial Intelligence Platform group is a key component of Visa Technology organization, providing the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. Our team delivers secure, high-quality, and easy-to-use Visa core data assets as a service, along with reliable and scalable data platforms, enabling Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Our application development is on the cutting edge of technology, and we are innovative leaders within our industry.

As a Data Engineer - Sr. Consultant level, you will play a key role in the innovation, design, and development of comprehensive Acquirer bundling and underwriting data pipeline solutions. These solutions will feed the data for feature built-in automated scoring models and customizable risk criteria, reporting, Data Analytics and Data delivery services for VISA’s Customers. In this individual contributor role, you will be responsible for creating and executing a data strategy that leverages our data assets, including developing a synthetic data engine, to drive innovation through data engineering and GenAI solutions.


Essential Functions:

  • Design, coding and testing of data models by mining and building data pipelines, ensuring data quality and integrity by implementing data validation, cleansing, and enrichment processes, Monitoring data pipelines, systems, and infrastructure to ensure they are running smoothly.
  • Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, secure data access layer, encryption, decryption etc..
  • Design and develop fine-tune conceptual, logical, and physical data models to map our data requirements into database structures.
  • Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data engineering projects.
  • Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products.
  • Champion innovation across organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations.
  • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Data Engineer - Sr. Consultant level- Core Data Assets, Visa

Join Visa as a Data Engineer - Sr. Consultant level, where your skills will make a remarkable impact in our Data and Artificial Intelligence Platform group! Located in Foster City, you'll become part of a dynamic team that plays a crucial role in managing Visa's core data assets and delivering innovative solutions to our customers. In this role, you'll be at the forefront of designing and developing cutting-edge data pipeline solutions that will support automated scoring models and customizable risk criteria. Your expertise will help us enhance our data engineering practices and GenAI solutions, ensuring our data quality and integrity are top-notch. You’ll love the blend of strategic thinking and hands-on execution as you develop synthetic data engines and create effective data strategies. As an individual contributor, you will also provide technical leadership in tooling and infrastructure, empowering our teams to execute data engineering projects efficiently. Interaction with product delivery teams is key, as you'll help implement proofs of concept and early products that drive innovation at Visa. Don’t miss the chance to champion data and artificial intelligence across organizations while enjoying a flexible hybrid work environment that allows you to balance both office and remote work!

Frequently Asked Questions (FAQs) for Data Engineer - Sr. Consultant level- Core Data Assets Role at Visa
What are the main responsibilities of a Data Engineer - Sr. Consultant at Visa?

As a Data Engineer - Sr. Consultant at Visa, you'll be responsible for the design, coding, and testing of data models, as well as developing data pipelines to ensure high data quality. Your role will involve implementing AI and data science models with substantial data volumes, creating data strategies, and providing technical leadership around infrastructure and tooling for data engineering projects.

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What qualifications are required for the Data Engineer - Sr. Consultant position at Visa?

To be a successful candidate for the Data Engineer - Sr. Consultant role at Visa, you'll typically need a strong background in data engineering, including experience with data modeling, pipeline development, and quality assurance processes. Proficiency in programming languages such as Python, SQL, and familiarity with AI/GenAI frameworks will be essential. Strong communication and technical leadership skills are also crucial for collaborating with cross-functional teams.

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How does the work environment look for a Data Engineer - Sr. Consultant at Visa?

The work environment for a Data Engineer - Sr. Consultant at Visa is hybrid, allowing you to blend both remote and in-office work. You'll typically be expected to work from the office 2-3 set days each week, which offers a collaborative setting for brainstorming and problem-solving alongside other data professionals.

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What is the significance of developing a synthetic data engine as a Data Engineer - Sr. Consultant at Visa?

Developing a synthetic data engine as a Data Engineer - Sr. Consultant at Visa is significant because it helps leverage our core data assets to drive innovation. This engine will assist in creating high-quality data sets that are crucial for training AI and machine learning models, ultimately enhancing Visa's ability to deliver better analytics and services to our customers.

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What opportunities for innovation and leadership does the Data Engineer - Sr. Consultant role at Visa offer?

In the Data Engineer - Sr. Consultant role at Visa, you'll have substantial opportunities for innovation and leadership. You’ll be championing advancements in the industry by introducing new data strategies, working on state-of-the-art AI projects, and delivering insightful technical solutions to both internal teams and external stakeholders.

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Common Interview Questions for Data Engineer - Sr. Consultant level- Core Data Assets
What experience do you have with data modeling as a Data Engineer?

When answering this question, highlight specific projects where you've designed conceptual, logical, and physical data models. Discuss any frameworks or tools you’ve used and how your contributions improved data processing or analytics capabilities.

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Can you describe your process for ensuring data quality in your projects?

Outline your approach for implementing data validation, cleansing, and enrichment processes. Give examples of how you've monitored data pipelines and addressed any issues that arose, demonstrating your proactive as well as reactive strategies.

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How have you implemented AI and data science models in past roles?

Share concrete examples of models you've worked with, including any challenges you faced during implementation. Discuss your experience with automatic model training, deployment, and how you ensured they were scalable with large data sets.

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What tools do you recommend for monitoring data pipelines?

Discuss the various tools you've used for monitoring, such as Apache Kafka, Airflow, or custom-built solutions. Emphasize any specific metrics you track and how this monitoring has led to improved operational efficiency in your previous projects.

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How do you handle working with cross-functional teams?

Elaborate on your experiences collaborating with product delivery teams and other stakeholders. Mention strategies you use for effective communication and teamwork, as well as a time when your collaboration led to a successful outcome.

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What strategies do you use for designing data pipelines?

Explain your overall strategy in designing data pipelines, including the techniques you use for extracting, transforming, and loading data. Discuss your considerations for performance, scalability, and maintainability.

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Can you give an example of a technical challenge you faced and how you solved it?

When discussing a technical challenge, describe the situation, your approach to finding a solution, and the final outcome. Highlight your problem-solving skills and technical expertise.

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What is your experience with cloud platforms in data engineering roles?

Share your familiarity with different cloud services, such as AWS, Azure, or Google Cloud. Highlight any projects where you utilized these platforms for data storage or processing purposes.

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How do you stay updated with the latest trends in data engineering?

Express your commitment to continuous learning, mentioning specific resources or events such as webinars, conferences, and online courses. Highlight your dedication to professional development and how it enhances your work.

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What do you believe is the future of data engineering?

When answering this question, share your insights on the evolving landscape of data engineering. Discuss emerging technologies, such as GenAI, and how you foresee these shaping the role of data engineers in driving business innovation.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 3, 2025

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