Sr. Manager, Data Engineering

Key Skills

Agile methodologies, Apache Airflow, Azure, Continuous Integration & Continuous Delivery - CI/CD, DevOps, English Proficiency, Github, Jenkins, Linux Operating system, Microsoft-Excel, PowerBI, Python Programming, Scrum Agile Methodology, Spanish language, Spark Core, SQL, Tableau, Unix Operating system

Job Description

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.

Our VCA teams offers:

• Consulting services customized to the needs of Visa client's business objectives and strategy
• Business and economic insights and perspectives that impact business and investment decisions
• Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
• Proven data-driven marketing strategies to increase clients' ROI

VCA team is looking for a passionate individual to join our consulting practice and play a role in the data engineering team. The ideal candidate is adept at recognizing, using, and creating big data patterns and solutions that give us an edge to understand our client's challenges and deploy targeted solutions to drive meaningful benefits, leveraging our world-class payment knowledge, in combination with our diverse service offerings to address key strategic needs for Visa's clients including issuers, acquirers and merchants.

He/She must have experience using a variety of data mining/data analysis methods, using a variety of distributed data platforms, and leveraging the latest open-source technologies. He/She must have a proven ability to drive business results with their data-based insights. Adept at creative and critical thinking, be able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.

Responsibilities

• Enhance the efficiency of the data engineering operating system by integrating and connecting diverse data platforms across the Visa technology ecosystem.
• Use accelerated computing technology to uplift our data engine.
• Perform data integration and transformation to handle sparse and noisy data.
• Lead and inspire a growing team of data engineers, fostering a collaborative and high-performance culture.
• Work with the Talent Acquisition and HR teams to conduct interviews and hire new data engineers.
• Provide career development, coaching and mentorship to direct reports. Conduct performance reviews and provide real-time feedback to drive high performance
• Set clear goals, priorities, and expectations for the team, aligning them with the strategic initiatives of the organization.
• Build high performing teams and empower your team. Give them the authority and support to make decisions
• Harness the power of GPUs in the cluster to boost performance on large-scale Big Data analytics.
• Deploy a robust data quality framework across our data assets to instill confidence and guarantee the trustworthiness of the data among users.
• Develop data governance content to promote consistency and accuracy throughout our data products, ensuring standardized practices and reliable decision-making.
• Conceptualize strategies and architect designs to transition our data solutions towards cloud-based platforms.
• Translate data into relevant insights and introduce innovative approaches to problem solve.
• Proactively work with stakeholders to define and facilitate business opportunities.
• Inspire teams to perform better and provide team member feedback on projects you lead.
• Partner with functional areas, and regional and global teams to leverage the breadth and depth of Visa’s resources.
• Ability to articulate complex architectures to non-technical audiences, management, and leadership.
• Understand VisaNet data and platform ecosystem to deploy fully automatic data applications for internal and external clients.
• Leverage DevOps to create end-to-end streamline CI/CD data and ML pipelines.
• Continuously research industry best practices and technologies and drive their adoption within the team.
• Evangelize end to end automation and standardization across the organization.
• Partner with functional areas, regional and global teams to leverage the breadth and depth of Visa’s resources.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications

• BA/BS required, MBA or other relevant Master’s degree preferred (e.g. engineering, computer science, computer engineering, applied mathematics, or other related fields)

Preferred Qualifications

• At least 8 years of experience as data engineer or data scientist with open-source tools.
• At least 3 years of experience managing or leading data engineering teams in an agile environment
• Experience working with remote teams
• Experience in retail banking, payments, financial services, and/or technology industries is a plus. Strong interest in the future of payments is a must.
• Strong technical competency and experience with shell-scripting and Linux systems.
• Experience with CI/CD pipeline using Azure DevOps, GitHub actions, Jenkins, or Airflow.
• Strong coding skills in Spark, Python and SQL to manipulate big data distributed platforms.
• Good to have experience in navigating in Linux/Unix/Container based apps such as Docker, Kubernetes, or Microservices environments.
• Ability to interact with big data clusters using Jupiter Notebooks, terminal, or GUI.
• Demonstrate experience leveraging open-source tools, libraries, and platforms.
• Experience with data visualization and business intelligence tools like Tableau, PowerBI, Microstrategy, or Excel.
• Problem solving ability and process creator with strategic focus on replicability, scalability, innovation, and governance.
• Proficient with git for version control and code collaboration using branches and pull requests.
• Must be passionate about automation and data and able to deliver high quality work.
• Experience developing as part of Agile/Scrum team.
• Fluency in English/Spanish (spoken/written). Portuguese is a plus.
• Experience in developing integrated cloud applications with services like AWS, Azure Cloud, and GCP is a plus.

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.