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Data Engineer - Sr. Consultant level- Core Data Assets - job 19 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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

Join Visa's Data and Artificial Intelligence Platform group as a Data Engineer - Sr. Consultant level in the vibrant Foster City. If you're passionate about leveraging data assets to create impactful solutions, this role is tailored for you! Here, you'll design and develop cutting-edge data pipeline solutions for Acquirer bundling and underwriting, enabling powerful data analytics and reporting for Visa’s valued customers. Your expertise will be essential in creating a synthetic data engine that drives innovation through data engineering and GenAI solutions. As an individual contributor, your role will encompass building data models, validating data quality, and ensuring smooth functioning of data pipelines. You’ll implement robust services to support AI and data science models operating on terabytes of data, including automatic training, deployment, and monitoring features. Collaboration is key, as you'll work closely with product delivery teams to bring proofs of concept to life and present your innovative ideas across organizations. Your ability to communicate technical concepts in relatable business terms will help bridge gaps and foster meaningful discussions within the team. In this hybrid position, you’ll enjoy a balance between working remotely and in the office, promoting both flexibility and community engagement. If you’re ready to be a part of transforming the digital payment industry, Visa is excited for you to apply your skills and become a vital member of our innovative team.

Frequently Asked Questions (FAQs) for Data Engineer - Sr. Consultant level- Core Data Assets Role at Visa
What responsibilities does a Data Engineer - Sr. Consultant level at Visa have?

As a Data Engineer - Sr. Consultant level at Visa, you will be responsible for designing and implementing data models, developing data pipeline solutions, and ensuring data integrity. You'll also monitor data systems, lead technical projects, collaborate with product teams, and present technical solutions in understandable terms to stakeholders. Your role will directly impact how Visa leverages data assets in innovative ways.

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

To excel as a Data Engineer - Sr. Consultant level at Visa, candidates should possess strong experience in data engineering, database design, and data model development. Proficiency in programming languages, data pipeline tools, and familiarity with AI and data science concepts will be crucial. A background in technology leadership and excellent problem-solving skills are also important to drive innovation.

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How does Visa support professional development for a Data Engineer - Sr. Consultant level?

Visa is committed to professional growth, providing opportunities for ongoing learning and development. As a Data Engineer - Sr. Consultant level, you'll have access to workshops, conferences, and the chance to contribute to technology talks. Your role also encourages continuous learning as you work with cutting-edge technology in the data space.

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What is the significance of the hybrid work model for the Data Engineer - Sr. Consultant level role at Visa?

The hybrid work model at Visa offers Data Engineers the flexibility to balance remote work with in-office collaboration. This approach fosters teamwork and innovation while allowing you to work comfortably from home part of the week. The expectation is to be in the office 2-3 days weekly, promoting a healthy workplace culture and maintaining connection with your team.

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What innovative technologies will a Data Engineer - Sr. Consultant level work with at Visa?

As a Data Engineer - Sr. Consultant level at Visa, you will work with advanced technologies in data engineering, GenAI solutions, and data analytics platforms. You'll design tools for automatic model training and monitoring, ensuring they can handle terabytes of data, which is central to Visa's efforts in leading the digital payments industry.

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Common Interview Questions for Data Engineer - Sr. Consultant level- Core Data Assets
Can you describe your experience with data pipeline development?

When answering this question, focus on specific projects you've worked on. Detail the technologies and frameworks you used, the challenges you encountered, and how you resolved them. Highlight your understanding of data quality and integrity and emphasize any results or metrics that showcase your success.

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How do you ensure data quality in your projects?

Discuss strategies you employ for data validation and cleaning, such as automated testing and data enrichment processes. Provide examples of how you've implemented these methods in the past, along with any technologies or tools that support these strategies.

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What is your approach to collaborating with product teams?

Share your strategies for effective communication and collaboration. Discuss how you establish goals, manage timelines, and ensure that technical solutions meet business needs. Relate any experiences where teamwork led to successful project completion.

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Describe a complex problem you solved in data engineering.

Provide a detailed example of a technical challenge you faced, including how you approached the problem, the tools and methodologies used, and the successful outcome. Highlight the skills you utilized and what you learned from the experience.

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

Explain your routine for professional development, such as following industry publications, participating in webinars, and attending workshops or conferences. Mention any communities or networks that you engage with to share knowledge and gain insights.

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What are feature stores, and how have you implemented them?

Define feature stores briefly, then describe how you have used them in your projects to streamline the data modeling process. Provide real-life examples where applicable, illustrating the benefits they brought to your data engineering efforts.

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How do you monitor the performance of data pipelines?

Discuss your experience with monitoring tools and metrics you use to track performance. Highlight some key KPIs that matter most in data pipeline operations and any steps you take when issues arise to ensure smooth functioning.

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What strategies do you employ for data security in pipeline development?

Outline your knowledge of data access controls, encryption, and other security best practices. Provide examples of security measures you've implemented in past roles, emphasizing their importance in safeguarding sensitive data.

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Can you discuss a time when you had to present technical solutions to a non-technical audience?

Provide an example that demonstrates your ability to translate complex technical information into relatable concepts. Detail how you prepared for the presentation, what key points you emphasized, and the feedback you received afterward.

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What excites you about working with GenAI solutions in data engineering?

Express your passion for innovation and how GenAI solutions can revolutionize data engineering practices. Discuss specific advancements or projects that inspire you, and how you see yourself contributing to Visa's objectives in this area.

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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...

8353 jobs
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Full-time, hybrid
DATE POSTED
April 2, 2025

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