Staff Data Engineer, Data Engineering

As a Staff Data Engineer, you will play a critical role in designing and delivering scalable, high-quality data solutions that enable intelligent decision-making across Global Data Engineering capabilities.

You will leverage your expertise to architect and implement large-scale data pipelines and modern data warehouse solutions using the latest technologies, ensuring efficient data storage, processing, and presentation.

In addition, you will provide technical leadership and mentoring to data engineering teams, fostering best practices and driving innovation.

You will also build and utilize advanced data modeling frameworks and adopt modern architectural patterns such as Medallion Architecture to deliver well-structured, efficient, and future-ready data solutions.

Primary responsibilities

• Build and utilize data modeling frameworks and leverage modern architectural patterns such as Medallion Architecture to design scalable, well-structured, and high-performance data solutions.
• Define, execute, and manage large-scale data pipelines to build solutions with required scalability and flexibility for global delivery.
• Build and maintain ETL processes in Spark, Python, and Hive, ensuring data quality, testing, and standardization across multiple sources.
• Develop modular and reusable data pipeline components to reduce code duplication and ensure consistency across projects.
• Enhance pipeline performance and reliability through continuous monitoring, proactive refactoring, and integration of modern frameworks and tools.
• Create and maintain technical/data documentation, including data dictionaries, validation alerts, and code version control (e.g., Git), ensuring data accuracy and integrity.
• Build lightweight visualization dashboards using tools like Tableau or Power BI to support analytical insights.
• Leverage Generative AI (GenAI) to enhance the data engineering lifecycle, including automating code generation, improving documentation, and optimizing pipeline design.

• Lead requirement gathering and collaborate with global business and technical teams to ensure smooth solution development, while effectively communicating technical insights and recommendations to stakeholders and leadership.
• Establish and enforce best practices for maintainability and scalability, including coding standards, version control, and automated workflows.
• Provide technical leadership and mentorship to a team of data engineers, promoting best practices and ensuring delivery of high-quality, scalable solutions.

This is a hybrid position.

Expectation of days in the office will be confirmed by your Hiring Manager

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.