All roles require digital fluency, including the ability to work with emerging technologies such as Big Data components, Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities
Lead the design, development, and deployment of scalable data engineering solutions and big data systems.
Oversee the creation and maintenance of data platform, and to modernize the data platform.
Guide teams in troubleshooting and resolving complex issues in distributed systems and data pipelines.
Drive the adoption of automation, CI/CD, and quality engineering practices at scale.
Coach and mentor engineering teams, fostering a culture of continuous improvement and technical excellence.
Collaborate with cross-functional partners to ensure solutions meet business priorities, regulatory requirements, and data governance standards.
Ensure adherence to data management principles, governance, and security protocols throughout the data lifecycle.
Lead the implementation of advanced data protocols, reduction techniques, and aggregation approaches to validate and optimize data quality.
Oversee the development and maintenance of technical and data documentation, and ensure best practices in code quality and review processes.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
10+ years of relevant work experience and a Bachelor's degree, OR 14+ years of relevant work experience.
Experience in leading teams in the design, development, and deployment of large-scale data engineering solutions.
Experience with big data technologies such as Hadoop, Hive, HBase, Spark, Trino and distributed data systems.
Experience in building and maintaining data pipelines, ETL processes, and data quality frameworks.
Experience with programming languages and tools such as Java, Python, SQL, and version control systems (e.g., Git).
Experience in troubleshooting and resolving issues in complex, high-volume data environments.
Experience in implementing data governance, security, and compliance standards.
Experience in coaching and mentoring engineering teams.
Experience collaborating with cross-functional teams to deliver business solutions.
Experience in developing and maintaining technical and data documentation.
Preferred Qualifications
10 or more years of relevant work experience with a bachelor's degree or 8 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 5 or more years of experience with a PhD.
Experience with Big Data platform components development and services, cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
Experience in Open source contribution to any Big Data components.
Experience in developing large-scale, enterprise-class distributed systems of high availability and low latency.
Experience in leading cross-functional teams in a matrixed organization.
Preferred Skill (Leadership Focus)
Strong people leadership skills with a demonstrated ability to build, mentor, and retain high-performing engineering teams while fostering a culture of innovation, inclusion, accountability, and continuous learning.
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.
