Lead Data Engineer
Core
Design and scale next-generation data platforms powering credit decisioning, portfolio risk management, regulatory reporting, and AI-driven insights for Mastercard's lending and risk ecosystems.
Role type
Lead Data Engineer (Technical Lead)
Builds
Enterprise-grade data platforms, pipelines, and governed data products for credit risk and analytics.
Domain
Financial Services / Credit Risk / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Large-scale data engineering, Distributed data processing, Databricks, Apache Spark/PySpark, Delta Lake, Cloud platforms (Azure/AWS/GCP), ETL/ELT pipelines, Data modeling, Data governance, CI/CD, Workflow orchestration (Airflow), Security & compliance
Preferred skills
Java development, Hadoop, Kafka, Azure Data Services, GitHub
Technologies
Databricks, Apache Spark, Delta Lake, Azure, AWS, GCP, Airflow, Kafka, Parquet, Avro, ORC
Responsibilities
Lead design and development of enterprise data platforms; Architect scalable ETL/ELT frameworks; Drive cloud transformation and legacy migration; Establish data quality and governance frameworks; Partner with Risk, Product, and Data Science teams; Mentor engineers and shape technology roadmaps.
Seniority
Senior, hands-on IC with leadership responsibilities