Join a global payments leader driving sustainable economies, where you’ll steer the design and operation of enterprise‑grade data platforms. This senior engineering role blends technical leadership with cross‑functional collaboration to deliver secure, scalable, and cost‑effective data solutions.
What You’ll Do
- Lead architecture and governance for data engineering, warehouses, and databases.
- Design and oversee ETL/ELT and CDC pipelines across relational and NoSQL sources.
- Build scalable lakehouse solutions using Snowflake, Databricks, Apache Iceberg, and S3.
- Manage PostgreSQL, MySQL, Aurora, MongoDB Atlas, and DynamoDB environments for performance and security.
- Drive incident response, root‑cause analysis, and preventive actions to improve service reliability.
- Lead cost‑optimization initiatives across cloud platforms and data infrastructure.
What You Need
- 8+ years in data engineering, warehousing, or database engineering.
- Proficiency in Python, SQL, PySpark, and ETL/ELT frameworks.
- Deep knowledge of PostgreSQL, MySQL, Aurora, and NoSQL databases.
- Hands‑on experience with AWS services (Glue, S3, DMS, DynamoDB).
- Expertise in Snowflake, Databricks, or Apache Iceberg lakehouse platforms.
- Experience with CI/CD, GitLab, Terraform, and Agile delivery.
Good to Have
- Familiarity with cloud security, governance, and cost‑optimization best practices.
- Background in SRE practices and production support for data platforms.
The Opportunity
You’ll spearhead the migration of legacy data systems to modern, cloud‑native architectures, shaping Mastercard’s data ecosystem at scale. The role offers direct impact on global payment services and close partnership with security, analytics, and fintech teams.