This role pays less than
53%
of similar roles. Most pay
$149,106–$211,200
— the shaded band above.
At the midpoint, this role pays about
$186k
versus about
$180k
for comparable roles.
Based on 240 similar postings.
Employer
About Mastercard
Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services
Mastercard currently has
116 open roles
on FindRole.
Listed pay typically runs
$122,000–$207,000
across 104 roles with salary data.
The Lead Data Engineer joins the Enterprise Credit Risk team to design and scale next-generation data platforms supporting credit decisioning, portfolio risk management, regulatory reporting, and AI-driven insights. This role involves architecting and implementing scalable ETL/ELT frameworks, migrating legacy assets to modern cloud-based Data Lakehouse architectures, and establishing robust data governance, lineage, and observability capabilities. The successful candidate will build high-quality data products while mentoring engineers and collaborating with cross-functional teams to translate complex business needs into technical solutions. Key technologies include Databricks, Apache Spark, PySpark, Delta Lake, SQL, Python, and Apache Airflow, alongside experience with Azure, AWS, or GCP environments. The role addresses critical challenges in the lending and risk ecosystem by ensuring data reliability and compliance while optimizing large-scale workloads for performance, security, and cost efficiency across various financial products.