Mastercard · mastercard.wd1.myworkdayjobs.com · checked today
Lead Data Engineer (Data Platforms)
Skills, with evidence
- AWS
Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
must have · not practised here - Azure
Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2).
must have · not practised here - Spark
This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure, while ensuring strong governance, scalability, and interoperability across multi-cloud environments.
- Governance & security
This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure, while ensuring strong governance, scalability, and interoperability across multi-cloud environments.
not practised here - Cost & performance
Understanding of FinOps, cost optimization, and platform observability
- Data quality
Understanding of FinOps, cost optimization, and platform observability
- Warehousing
Knowledge of open data formats (Delta Lake, Apache Iceberg)
- Terraform
Experience with CI/CD, Infrastructure as Code, and automation
not practised here
Your plan
- SQL
drills at the Staff level
- Modelling
drills at the Staff level
- Spark
drills at the Staff level
The full plan, drill by drill, is on the job page.
leaves in 13 dremoved the moment Mastercard closes it