Job Overview
At Visa you will work as a senior contributor in the Data Engineering team, building key elements of our data platform with Snowflake, dbt, and Airflow. The role focuses on minimizing cloud costs, driving best practices across our Data Disciplines, and scaling and automating data governance for VXBS.
Responsibilities
- Build robust data models downstream of backend services primarily in Snowflake to support internal reporting, financial, and regulatory use cases.
- Optimize the Data Warehouse by spotting opportunities to reduce complexity and cost.
- Define and manage best practices for the Data Warehouse, including payload design of source data, logical data modelling, implementation, metadata, and testing standards.
- Set standards and ways of working for data across VXBS and collaborate with others to implement them.
- Investigate and collaborate with colleagues from other disciplines to monitor and improve data quality within the warehouse.
- Contribute to prioritization of data governance issues.
- Apply established best practices and standards across other areas of the business.
Qualifications
- Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree, or at least 2 years of relevant work experience with an advanced degree (Masters, MBA, JD, MD), or 0 years of relevant work experience with a PhD, or 8+ years of relevant work experience.
- Preferred Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree, or at least 2 years of relevant work experience with an advanced degree (Masters, MBA, JD, MD), or 0 years of relevant work experience with a PhD, or 8+ years of relevant work experience; additionally:
- Experience and passion for data modelling, ETL projects, and Big Data.
- Strong experience in Python, Java, or similar languages.
- Proven experience with AWS SQL and data modelling.
- Comfortable with general data warehousing concepts.
- Proactive improvement focus, identifying issues and opportunities.
- Experience building robust and reliable data sets requiring a high level of control.
- Experience with stream technologies such as Kafka, Kinesis, Pulsar, etc.
- Experience with IaC tools such as Terraform, AWS CloudFormation, or Ansible.
- Nice‑to‑haves: Finance or accounting experience; experience in a highly regulated environment; knowledge of regulatory reporting and treasury operations in retail banking; use of dbt, Databricks, or similar tooling; orchestration frameworks such as Airflow/Prefect; stream processing frameworks such as Flink or Spark Streaming; Agile (Kanban, Scrum) experience.
Work Environment
This is a hybrid position; expectations of days in the office will be confirmed by your Hiring Manager.
EEO Statement
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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