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Data Engineer - Sr. Consultant level- Core Data Assets - job 4 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

$125000 / YEARLY (est.)
min
max
$100000K
$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

Join Visa as a Data Engineer - Sr. Consultant level and become an integral part of our Data and Artificial Intelligence Platform group based in Foster City! Here, you'll be at the forefront of Visa's technology evolution, where we handle data assets that drive cutting-edge innovations in the digital payment industry. In this exciting role, your creativity and technical expertise will shine as you design and develop robust acquirer bundling and underwriting data pipeline solutions. These solutions are pivotal for building automated scoring models and customizable risk criteria, helping our clients make informed decisions. You'll leverage your skills to develop a synthetic data engine and a cohesive data strategy that enriches our data assets while ensuring quality and integrity. You will also play a critical role in implementing AI and data science models that work seamlessly with massive datasets, helping shape and redefine our data engineering practices. Collaborating with product delivery teams, you'll turn your innovative ideas into tangible products and services that elevate our offerings. With responsibility comes the opportunity to present your technical solutions to both internal and external stakeholders, effectively showcasing your passion for data engineering and influencing future tech developments. Plus, with our hybrid work environment, you'll enjoy the flexibility of working remotely while having time in the office to connect with your team. If you're ready to drive innovation and tackle exciting challenges at Visa, we can't wait to see how you'll make a difference!

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

As a Data Engineer - Sr. Consultant at Visa, your primary responsibilities will include designing and implementing data models, creating and monitoring data pipelines, and ensuring data integrity through validation and cleansing. You'll also develop AI-driven solutions and collaborate with product teams to bring innovative products to market, while presenting and communicating technical solutions to both technical and non-technical stakeholders.

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What qualifications do I need to become a Data Engineer - Sr. Consultant at Visa?

To qualify for the Data Engineer - Sr. Consultant position at Visa, you should have a strong background in data engineering principles, experience with data modeling and pipeline design, and knowledge of AI and machine learning concepts. A degree in Computer Science, Engineering, or a related field is typically required, along with proficiency in programming languages relevant to data engineering such as Python or SQL.

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How does Visa support innovation in the Data Engineer - Sr. Consultant role?

Visa promotes innovation by encouraging Data Engineers - Sr. Consultants to lead data engineering projects and explore new technologies like GenAI solutions. You'll have access to cutting-edge tools and resources to develop solutions, and opportunities to present your findings and proposals at technology talks, fostering an environment that celebrates ingenuity and collaboration.

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

The work environment for a Data Engineer - Sr. Consultant at Visa is dynamic and collaborative, with a hybrid model that allows for both remote and in-office work. You'll be part of a forward-thinking team focused on leveraging data for groundbreaking advancements, enabling you to interact and collaborate with diverse teams while enjoying flexibility in your work schedule.

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What tools and technologies do Data Engineers at Visa typically use?

Data Engineers at Visa utilize a variety of tools and technologies that facilitate data handling and analysis. This includes programming languages like Python, SQL for database queries, data pipeline tools for system integration, and advanced analytics platforms for machine learning applications. Familiarity with cloud services and data storage solutions is also beneficial for the Data Engineer - Sr. Consultant role.

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Common Interview Questions for Data Engineer - Sr. Consultant level- Core Data Assets
Can you explain your experience with data modeling and pipeline design in your previous roles?

When answering this question, highlight specific projects where you designed data models and created data pipelines. Discuss the challenges you faced, how you ensured data quality, and any relevant tools or technologies you used. Focus on the outcomes and how your work positively impacted the organization.

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How do you ensure data integrity and quality within your data engineering projects?

Explain the data validation and cleansing techniques you implement to ensure data integrity. Discuss how you monitor data pipelines for performance and catch errors early. Provide examples of how you've improved data quality in previous projects.

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Describe a time when you had to collaborate with product teams. What was your approach?

Share a specific instance where you partnered with product teams. Discuss how you communicated technical details in a non-technical way, the strategies you employed to align your work with their needs, and the successful outcomes of that collaboration.

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

Discuss your exposure to AI/ML, such as developing automated scoring models or working with predictive analytics. Share specific examples and explain how these experiences relate to the Data Engineer - Sr. Consultant role at Visa.

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In your opinion, what are the biggest challenges facing data engineering today?

Provide insights into current industry challenges, such as data privacy concerns, handling large data volumes, or maintaining data quality. Offer your perspective on how these challenges can be addressed, emphasizing your proactive approach to problem-solving.

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How do you stay current with industry trends and technologies in data engineering?

Discuss the methods you use to keep your skills sharp, such as attending workshops, webinars, and industry conferences. Mention any relevant online courses or certifications you've pursued to enhance your knowledge in data engineering and emerging technologies.

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What strategies do you use to effectively communicate technical information to non-technical stakeholders?

Emphasize the importance of tailored communication. Share strategies such as using visuals, simplifying complex concepts, or providing real-world analogies to make technical information more accessible to non-technical audiences.

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Describe your experience with cloud technologies and their importance in data engineering.

Talk about the cloud platforms you've worked with and how they enhance data storage, processing, and scalability. Provide examples of projects where cloud technologies played a key role in your data engineering solutions.

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How do you manage competing deadlines and prioritize tasks in data engineering projects?

Explain your approach to time management and prioritization. Discuss techniques you use, such as agile methodologies or project management tools, and provide examples of how you successfully managed multiple projects simultaneously.

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Can you give an example of a data-driven project you led and its impact?

Be prepared to discuss a specific project where you took the lead. Focus on your role, the data influenced decisions, and quantify the impact. This showcases your leadership skills while reinforcing your capabilities as a Data Engineer - Sr. Consultant.

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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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