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Data Engineer - Sr. Consultant level- Core Data Assets - job 1 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

$130000 / YEARLY (est.)
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$110000K
$150000K

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

Are you ready to take your data engineering skills to the next level? Join Visa as a Data Engineer - Sr. Consultant in Foster City, where you'll be at the forefront of innovation in the digital payment industry. Our Data and Artificial Intelligence Platform group is essential to Visa's Technology organization. We empower our teams to develop secure, high-quality data assets, making it easier to deliver superb products and services to our customers. In this individual contributor role, you will design and develop comprehensive data pipeline solutions that support automated scoring models for effective risk management. Collaborating with product delivery teams, you'll be responsible for transforming our data strategy into robust, scalable solutions, utilizing cutting-edge technologies and processes. You will also lead efforts in ensuring data quality and integrity through rigorous validation and enrichment processes. With a hybrid work environment, you're allowed flexibility while still contributing 50% or more from the office. Bring your passion for data and technology to Visa, and help us continue to innovate and set the pace in the payments space!

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

As a Data Engineer - Sr. Consultant at Visa, your main responsibilities include designing, coding, and testing data models, developing data pipelines, ensuring data quality, and monitoring the systems and infrastructure to maintain smooth operations. You will also implement services for AI and data science models, manage model training and deployment, and collaborate with various product delivery teams.

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

To be considered for the Data Engineer - Sr. Consultant position at Visa, candidates should possess strong expertise in data engineering concepts, proficiency with data modeling, and experience in building data pipelines. Familiarity with AI and machine learning models is also crucial, along with problem-solving skills and the ability to communicate complex technical solutions effectively.

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

The Data Engineer - Sr. Consultant role at Visa offers a hybrid work environment, allowing flexibility between remote and office work. Team members are expected to work in the office about 50% of the time, with specific days set by leadership, creating a balance that fosters both collaboration and autonomy.

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

In this role, the Data Engineer - Sr. Consultant at Visa plays a vital part in championing innovation by creating comprehensive data solution architectures, exploring cutting-edge technologies, and providing technical leadership that enables teams to deliver efficient data engineering projects and contribute to industry-leading advancements.

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What is the importance of data validation in the Data Engineer - Sr. Consultant role at Visa?

Data validation is crucial in the Data Engineer - Sr. Consultant role at Visa as it ensures the quality and integrity of the data being processed. This involves implementing various cleansing and enrichment processes to confirm that all data assets are reliable and accurate, which directly influences decision-making and risk management in the financial services sector.

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Common Interview Questions for Data Engineer - Sr. Consultant level- Core Data Assets
Can you explain your experience with data modeling relevant to the Data Engineer - Sr. Consultant role at Visa?

In your answer, highlight specific projects where you designed conceptual, logical, and physical data models. Discuss how these experiences involved mapping data requirements into database structures and ensuring data quality, showcasing your expertise in data modeling relevant to Visa's initiatives.

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Describe your approach to developing and maintaining data pipelines.

Focus on your process for designing, testing, and deploying data pipelines. Include details on monitoring for performance and reliability, as well as implementing processes for data validation, cleansing, and enrichment—critical aspects of the Data Engineer - Sr. Consultant role at Visa.

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What experience do you have with AI and machine learning models?

Articulate how you've integrated AI or machine learning models into data engineering workflows. Discuss your familiarity with training, deploying, and monitoring these models, as this experience is vital for the Data Engineer - Sr. Consultant position at Visa.

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How do you ensure the scalability of data solutions?

Share your strategies for designing scalable data architectures, such as using appropriate data storage solutions, developing robust data pipelines, and implementing efficient data access protocols, which align with the expectations for the role at Visa.

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

Mention any relevant courses, webinars, or conferences you attend to keep your knowledge current. Highlight your commitment to continuous learning in technologies like GenAI, emphasizing how this aligns with Visa's forward-thinking approach.

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Can you provide an example of a time when you resolved a complex data issue?

Detail a specific problem you faced, the approaches you took to assess and address it, and the outcome. Emphasize your problem-solving skills and how your actions helped improve data integrity, which is crucial for the Data Engineer - Sr. Consultant role at Visa.

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What tools and technologies are you proficient in for data engineering?

List the specific tools, frameworks, and programming languages you are comfortable with, relating them back to their relevance for the Data Engineer - Sr. Consultant role at Visa. This can include tools for data processing, pipeline orchestration, and data modeling.

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How would you communicate technical solutions to a non-technical audience?

Discuss your strategy for simplifying complex concepts using relatable examples or visual aids. Emphasize the importance of understanding the audience's perspective, particularly for presenting to business stakeholders at Visa.

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What is your experience with monitoring and maintaining data systems?

Outline your approach to system monitoring, including the metrics you prioritize, the tools you use, and how you respond to incidents. Discuss how proactive maintenance can lead to smoother operations, a key focus for Data Engineers at Visa.

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In what ways can you contribute to fostering an innovative culture at Visa?

Provide examples of how you've championed innovation in your past roles, whether through leading projects, contributing to knowledge-sharing sessions, or suggesting improvements. Illustrate how this mindset aligns with the values of Visa and the Data Engineer - Sr. Consultant role.

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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 4, 2025

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