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DirectorFull-timeMachine Learning
Salary Range
$204,000 - $276,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Data Engineering Lead is a technical leader responsible for guiding the design, development, and optimization of Visa’s large-scale data platforms and cloud-based analytics environments. This role provides architectural direction, leads complex engineering initiatives, and mentors teams while remaining hands-on with modern data technologies.
Key Responsibilities
- →Lead the architecture and delivery of large-scale, high-performance data pipelines and processing frameworks across Hadoop and multi-cloud environments.
- →Design scalable data models, lakehouse structures, and distributed data processing solutions that support analytics, machine learning, and real-time data needs.
- →Provide technical leadership to Senior and Staff Data Engineers, conducting design reviews, guiding implementation decisions, and ensuring engineering excellence.
- →Partner with cross-functional teams to translate business and product requirements into robust technical designs and data solutions.
- →Develop and improve engineering best practices for data governance, quality, observability, testing, and cloud resource optimization.
- →Drive adoption of cloud-native data technologies, automation frameworks, and reusable components that improve development velocity and system reliability.
- →Lead complex data modernization efforts, including cloud migration, data lake/lakehouse consolidation, and performance optimization of critical pipelines.
- →Evaluate new tools and technologies, influencing platform evolution within the scope of assigned domains or product areas.
- →Collaborate with product, analytics, and platform teams to ensure alignment on data strategy and architectural roadmaps.
- →Mentor engineers at all levels, providing technical coaching and fostering a culture of continuous improvement.
Requirements
- ✓Experience with Hadoop and multi-cloud environments
- ✓Strong background in designing scalable data models and lakehouse structures
- ✓Leadership experience in data engineering teams
- ✓Knowledge of data governance, quality, and observability practices
- ✓Familiarity with cloud-native data technologies and automation frameworks
- ✓Experience with data modernization efforts and cloud migration
- ✓Ability to evaluate and implement new tools and technologies
- ✓Strong collaboration and communication skills
- ✓Ability to mentor engineers at all levels
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About Visa
Visa is a global technology company that operates at the forefront of the payments industry, facilitating electronic funds transfers across the world. Founded in 1958 as BankAmericard and evolving into Visa Inc. in 2007, the company has established itself as a cornerstone of modern financial infrastructure. Headquartered in the United States, Visa provides the technological backbone that enables billions of transactions annually, connecting consumers, businesses, banks, and governments in over 200 countries and territories. Its network, VisaNet, is renowned for its security, reliability, and scalability, processing transactions with speed and precision. Visa offers a comprehensive suite of payment solutions, including credit, debit, prepaid, and commercial products, all designed to enhance the way people and businesses transact. Key features of Visa’s services include advanced security protocols such as tokenization and biometric authentication, global acceptance at millions of merchant locations, and innovative digital payment options like contactless and mobile wallet integrations. The company primarily targets consumers seeking convenient and secure payment methods, merchants aiming to streamline operations and reduce fraud, and financial institutions looking to offer competitive payment products. Visa’s solutions are particularly valuable in the retail, hospitality, and e-commerce sectors, where seamless and secure transactions are critical. Visa holds a dominant position in the global payments industry, processing trillions of dollars in transactions each year and setting industry standards for innovation and security. The company’s notable achievements include pioneering the introduction of credit cards, driving the adoption of contactless payments, and leading initiatives to combat fraud and promote financial inclusion. Visa’s unique value proposition lies in its ability to combine a vast, interconnected network with cutting-edge technology, enabling faster, safer, and more inclusive financial transactions worldwide. Its commitment to sustainability and digital transformation further solidifies its role as a leader in shaping the future of payments.
