Marketing Data Engineer

About Visa

Visa is a global leader in payments technology, enabling transactions among consumers, merchants, financial institutions, and government bodies across over 200 countries and territories. The company is committed to being the premier method to pay and be paid, improving lives worldwide.

At Visa, employees have the opportunity to make large-scale impacts, develop their skills, and see their contributions positively affect communities globally.

Join Visa to engage in meaningful work that matters personally, socially, and globally. Progress begins with you.

Role Overview and Responsibilities

• Develop and maintain data pipelines using PySpark within Hadoop ecosystems to efficiently extract, transform, and load marketing-related data from various platforms.
• Support experimentation initiatives such as A/B testing, incrementality assessments, and geographically segmented experiments to accurately evaluate marketing effectiveness; prepare and sustain pipelines for Marketing Mix Modeling projects.
• Manage integration and data flow between Customer Relationship Management (CRM) systems and Customer Data Platforms (CDP), including audience segmentation, supporting personalization strategies, and maintaining unified customer profiles.
• Implement data quality frameworks featuring automated validation and anomaly detection to ensure data reliability and uphold privacy standards like GDPR and CCPA.
• Create automated processes for campaign reporting and comprehensive marketing performance dashboards to provide actionable insights regarding customer acquisition, ROI, and effectiveness.
• Collaborate cross-functionally with marketing, analytics, data science, and other teams to transform requirements into technical implementations; contribute to audience definition, segmentation, and measurement criteria for campaigns.
• Work closely with marketing data stewards to ensure adherence to data ingestion protocols, audience validation standards, and data quality expectations; support management of consumer identifiers and secure, privacy-compliant tokenization methods for audience activation and measurement.

Required Qualifications and Skills

• Proficiency in Python programming, including PySpark and Spark SQL for data processing.
• Advanced command of SQL for sophisticated data manipulation and analytical tasks.
• In-depth understanding of data ingestion protocols pertaining to marketing automation systems.
• Experience working with Hadoop ecosystem components such as HDFS, Hive, and YARN.
• Familiarity with data orchestration tools like Airflow or Oozie.
• Knowledge of experimentation and data science techniques, including A/B testing, incrementality measurement, and lift analysis.
• Practical experience with marketing automation platforms such as WebEngage, Adobe Campaign, or Salesforce Marketing Cloud.
• Understanding marketing audience deployment workflows including segmentation across various channels like email, mobile, web, and paid media.
• Expertise in customer identity resolution and audience matching through techniques like unique consumer identifiers, hashed IDs, and tokenization, ensuring privacy compliance.
• Knowledge of first-party data strategies aligned with privacy-conscious measurement frameworks.
• Competence in using data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Strong analytical mindset and problem-solving skills.
• Demonstrated capability and willingness to work collaboratively with global stakeholders, including participation in meetings across diverse time zones as needed.

Preferred Qualifications

• Experience designing survey-based marketing research including sampling, hold-out group setup, questionnaire development, and response evaluation.
• Demonstrated expertise in customer lifecycle analytics.
• Previous exposure to marketing analytics in B2B settings or product marketing data management, including dashboard creation for lead generation and qualification measurement.
• Background in analyzing marketing activities such as content creation, events (trade shows, webinars), partner marketing, CRM through email, and media campaigns.
• Self-motivated with the ability to independently solve problems and manage multiple priorities effectively.

Additional Information

Visa expects employees to spend at least three days per week in the office; specific scheduling is to be determined by the Hiring Manager.

Educational and Experience Requirements

• Bachelor's or Master's degree in Computer Science, Data Analytics, Marketing Technology, Audience Strategy, or related disciplines.
• Five to eight years of experience in data analytics or data engineering, preferably focused on marketing-related data.
• Certifications related to cloud platforms, Salesforce, or data governance are advantageous.
• Business-level proficiency in English with excellent communication skills, capable of preparing presentations and engaging senior stakeholders.
• Experience with data visualization, particularly Tableau, and analytics-focused data presentation.
• Exposure to big data environments and Agile, fast-paced work settings.
• Strong understanding of SQL, data modeling (star schemas, snowflake), and foundational probability and statistics.
• Experience managing multiple tasks and working effectively in a matrixed organizational environment.

Preferred Additional Skills

• Experience in service level management or SLA reporting within technology-driven contexts.
• Advanced proficiency with Excel, PowerPoint, and Tableau.
• Experience mentoring team members and fostering collaboration.
• Knowledge of the payments industry or prior experience with Visa is a plus.

Diversity and Employment Policy

Visa is an equal opportunity employer committed to providing fair employment without discrimination based on race, color, religion, sex, national origin, sexual orientation, gender identity, disability, veteran status, or criminal history, consistent with applicable laws and guidelines.