Lead Data Engineer
Core
Lead the design, development, and evolution of enterprise-grade data platforms and pipelines supporting credit risk products, decisioning capabilities, and analytics solutions for Mastercard's lending and risk ecosystems.
Role type
Lead Data Engineer (Enterprise Credit Risk)
Builds
Cloud-based data platforms, Data Lakehouse architectures, scalable ETL/ELT frameworks, and governed data products for credit decisioning and risk management.
Domain
Financial Services / Credit Risk / Data Engineering
Required skills
Large-scale distributed data processing, Databricks, Apache Spark, Delta Lake, SQL, Python, Cloud platforms (Azure/AWS/GCP), ETL/ELT pipeline design, Data modeling, Data governance and lineage, Workflow orchestration (Airflow), CI/CD and DevOps practices, Security and compliance for financial data.
Preferred skills
Java application development, Hadoop.
Technologies
Databricks, Apache Spark, Delta Lake, SQL, Python, Azure, AWS, GCP, Airflow, Parquet, Avro, ORC, Hadoop.
Responsibilities
Architect and implement scalable ETL/ELT frameworks; Establish data quality, lineage, governance, and monitoring capabilities; Drive migration of legacy data assets to cloud-based Data Lakehouse platforms; Lead technical design reviews and influence architectural direction; Optimize large-scale data processing workloads for performance and cost efficiency; Mentor engineers and raise technical capability across the organization; Shape strategic roadmap planning and technology evaluation for the ECR portfolio.
Seniority
Senior, hands-on IC with leadership responsibilities
