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Data Engineer - Sr. Consultant level- Core Data Assets - job 20 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

At Visa, we're on the forefront of the digital payment revolution, and our Data and Artificial Intelligence Platform group is integral to driving that innovation. As a Data Engineer - Sr. Consultant level based in Foster City, you'll be diving into the heart of our technology efforts. This role allows you to get hands-on in creating robust and efficient data pipeline solutions aimed at enhancing our core data assets. You’ll be designing and coding data models, ensuring data quality, and working on the infrastructure that supports our advanced AI and data science models. With responsibilities that range from developing synthetic data engines to implementing model training and monitoring features, your expertise will directly influence how Visa and partners utilize data to shape new products and services. You'll collaborate with product delivery teams to transform your innovative ideas into tangible solutions while presenting technical strategies in a way that resonates with business objectives. If you are passionate about championing data-driven innovation and have a knack for technical leadership, this hybrid role at Visa could be the perfect opportunity for you to contribute to the future of payments.

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

As a Data Engineer - Sr. Consultant level at Visa, your primary responsibilities include designing and coding data models, building efficient data pipelines, ensuring data quality and integrity, and monitoring systems to maintain optimal operation. You'll lead initiatives around AI and data science model deployment, contributing to the development of our innovative core data assets.

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

To qualify for the Data Engineer - Sr. Consultant level role at Visa, candidates typically need a degree in Computer Science, Engineering, or a similar field, coupled with extensive experience in data engineering and architecture. Proficiency in data modeling, pipeline development, and familiarity with AI and data science frameworks are also essential.

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How does the Data Engineer - Sr. Consultant level at Visa contribute to data-driven innovation?

In the role of Data Engineer - Sr. Consultant level, you will contribute to data-driven innovation by designing and implementing data pipeline solutions that support dynamic AI models. Your work will influence how Visa leverages its data assets, enabling the company to deliver innovative services that enhance customer experiences and improve decision-making.

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Can you describe the work environment for a Data Engineer - Sr. Consultant level at Visa?

The Data Engineer - Sr. Consultant level position at Visa offers a hybrid work environment, allowing flexibility to work both remotely and in-office. This arrangement balances personal work preferences while ensuring collaboration with teams. Employees are generally expected to be in the office 2-3 days a week, fostering both individual productivity and team synergy.

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What opportunities for professional development exist for a Data Engineer - Sr. Consultant level at Visa?

Visa is committed to the professional growth of its employees. As a Data Engineer - Sr. Consultant level, you will have access to advanced training programs, mentoring opportunities, and the chance to participate in technology talks and presentations, promoting your development in the field and enhancing your career trajectory.

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Common Interview Questions for Data Engineer - Sr. Consultant level- Core Data Assets
Can you explain your experience with data modeling as a Data Engineer?

When asked about your data modeling experience, detail specific projects where you designed and implemented data models. Emphasize your approach, the tools used, and how these models improved data quality or facilitated business insights.

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What strategies do you use to ensure data integrity and quality?

Discuss methods such as data validation, cleansing, and enrichment processes you’ve implemented. Provide examples of how you’ve monitored pipelines and corrected data issues to maintain high data integrity.

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How do you approach building data pipelines?

Explain your pipeline development process, including the planning phase, technology choices, and your approach to scalability and reliability. Highlight any tools or technologies you prefer and why.

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Describe a challenging project you worked on related to AI or data science models.

Share a specific project that posed challenges, detailing the problem, your role, the technologies used, and the outcome. Focus on your problem-solving skills and how you contributed to the project’s success.

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What is your experience with machine learning models in data engineering?

Provide insights into how you've integrated machine learning models into data pipelines, addressing aspects like data preparation, model training, and deployment. Discuss any specific use cases where you've applied this knowledge.

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How do you ensure that the data you manage is secure?

Focus on your knowledge of secure data practices, including encryption methods, access controls, and compliance with data protection regulations. Provide examples of how these practices have been implemented in previous roles.

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What tools have you used for monitoring data systems?

Mention specific monitoring tools you've utilized, such as Apache Airflow for pipeline monitoring or ELK stack for logging. Discuss how these tools helped in maintaining system performance and resolving issues proactively.

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How do you communicate technical solutions to non-technical stakeholders?

Highlight your ability to translate technical concepts into business language. Provide strategies you use to bridge the gap, such as visual aids, analogies, or simplifying terminology without diluting the content.

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What do you consider when designing a data strategy for a project?

Discuss factors such as business objectives, data sources, infrastructure capabilities, and compliance needs. Emphasize your method for aligning the data strategy with broader organizational goals.

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How do you keep current with advancements in data engineering and AI?

Share your approach to professional development by discussing resources like industry publications, online courses, conferences, and your engagement with community discussions to stay informed about the latest trends.

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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 2, 2025

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