Lead Data Engineer
Mastercard
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 63% of similar roles. Most pay $126,800–$202,200 — the blue band above. At the midpoint, this role pays about $186k versus about $164k for comparable roles.
Based on 240 similar postings.
Employer
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 150 open roles on FindRole.
Listed pay typically runs $122,000–$207,000 across 142 roles with salary data.
Most-posted roles
At a glance
The Lead Data Engineer joins the Enterprise Credit Risk team to design and scale next-generation data platforms powering credit decisioning, portfolio risk management, regulatory reporting, and AI-driven insights. You will lead the architecture and implementation of scalable ETL/ELT frameworks, drive cloud transformation by migrating legacy assets to Data Lakehouse architectures, and establish data quality, lineage, and governance capabilities. The role requires building reliable data products for lending and risk ecosystems while mentoring engineers and defining technical roadmaps. Key technologies include Databricks, Apache Spark, PySpark, Delta Lake, SQL, Python, and Apache Airflow. You will also utilize Azure, AWS, or GCP, along with Kafka, Parquet, Avro, and ORC. The position involves solving complex business needs by transforming requirements into sustainable technical solutions for sensitive financial data.
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What you'll do
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