Bangalore, INDIA, India
1 day ago
Director - Data Engineering (15+ years' experience, Skills: - Python, Hadoop, Spark, Kafka, GenAI)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Payments Industry is a very exciting and fast-developing area with a lot of new and innovative solutions coming to the market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!

In Ecosystem & Operational Risk (EOR) technology group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems.

We are in search of inquisitive, creative, and skillful technologists to join our ranks. We are currently looking for a Director of Software Engineering who will take the lead and manage several strategic initiatives within our organization.

The right candidate will possess a strong software engineering background, with demonstrated leadership experience in driving technical architecture, design and delivery of products and services that have created business value and delivered impact.

Essential Functions

Responsible for building enterprise scale applications leveraging Data Engineering, AI/ML and GenAI technologies.Oversee the end-to-end product lifecycle, from ideation, research, design, development, testing, launch to post-launch evaluation.Foster an environment of innovation, encouraging the team to bring forward new ideas and solutionsAct as a key liaison between the product team, executive leadership, and other stakeholders, ensuring transparency and alignment.Responsible for the overall development life cycle of the solution and manage complex products with significant bottom-line impactWork with geographically distributed global teamsWork with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goalsWork closely with senior engineers to develop the best technical design and approach for new product developmentInstill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedulesProject management: prioritization, planning of projects and features, stakeholder management and tracking of external commitmentsIdentify opportunities for further enhancements and refinements to standards and processesHire, retain and grow world class engineering talentMentor junior team members, develop departmental procedures and best practices standardsStrong Negotiation Skills: You will be a distinguished ambassador for product development: collaborating, negotiating, managing tradeoffs, and evaluating opportunistic new ideas with business partners

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

15 or more years of work experience with a Bachelor’s Degree or with an Advanced DegreeRequires 15 or more years of experience, at least 3+ years in leading engineering teamsExperience leading design and development of data pipelines and analytics platformsExperience leading product development & delivery of AI/ML solutions, applied to real-world problemsExperience leading design and development of mission-critical, secure, reliable systemsExperience leading or knowledge of GenAI product development with deep expertise in LLM integration and prompt engineeringExperience leading delivery across multiple technologies: Python, Java/J2EE, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, design patterns, test automation frameworksExcellent understanding of algorithms and data structuresExcellent problem solving and analytics skills. Capable of forming and advocating an independent viewpointStrong experience with agile methodologiesExcel in partnering with Product leaders and technical product managers, helping define joint product/technology roadmaps & driving prioritizationExperience driving continuous improvements to processes / tools for better developer efficiency and productivityDemonstrated ability to drive measurable improvements across engineering, delivery and performance metricsDemonstrated success in leading high performing, multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire, develop and retain high-caliber talentMust demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess what’s possible technicallyStrong collaboration and effective communication, with focus on win-win outcomes

Additional Information

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.

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