Description
Visa is looking for a Director, Data Engineering to lead the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure.
The Director, Data Engineering leads the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure, leveraging cloud-native technologies and big data frameworks. This role oversees the integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives, and champions new tools and technologies to improve productivity, scalability, and effectiveness of data engineering efforts.
Key Responsibilities:
- Lead the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure.
- Oversee integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives.
- Evaluate, implement, and champion new tools and technologies to improve productivity, scalability, and effectiveness of data engineering efforts.
- Establish and enforce data engineering best practices, technical standards, governance, and quality standards.
- Ensure data security, privacy, compliance, system performance, scalability, and availability across all data engineering projects and platforms.
- Define, monitor, and report on key performance indicators (KPIs) to measure the success and impact of data engineering activities.
- Lead incident response, root cause analysis, and resolution for data platform issues, ensuring high availability and reliability.
- Collaborate with cross-functional teams to deliver robust data-driven business solutions and define technical roadmaps.
- Mentor, coach, and grow a high-performing team of data engineers, fostering a culture of innovation, excellence, and continuous learning.
- Partner with senior leadership to define, execute, and communicate the enterprise data strategy.
Qualifications:
- 10+ years of relevant work experience with a bachelor’s degree, or 13+ years of relevant work experience.
- Preferred qualifications include 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree, experience in leading large-scale data engineering teams and projects in a complex enterprise environment, and experience in data architecture, ETL/ELT pipelines, data warehousing, and real-time data processing.
Benefits:
- Comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Salary:
- The estimated salary range for this position is $197,200.00 to $315,700.00 USD per year.