Principal Data Engineer - Data Quality
Core
Lead the design, development, and adoption of scalable data quality frameworks, services, and engineering practices to improve data trust, reliability, and governance across the organization. (via careerplan.io/jobs/R-292616-1-principal-data-engineer-data-quality-at-mastercard)
Role type
Principal Data Engineer (Data Quality)
Builds
Enterprise data quality platforms, frameworks, and shared services for batch, streaming, cloud, on-premises, and SaaS environments.
Domain
Financial services, Data Engineering, Data Quality, Metadata Management
Deliverable
production ML models
Required skills
Data Engineering, Data Quality frameworks, Metadata management, Data Governance, SQL, Python, Spark/PySpark, Streaming technologies, Cloud data platforms, Distributed systems architecture, Data contracts, Data Lineage, Master Data Management (MDM), Data Observability, CI/CD practices, AI/ML integration
Preferred skills
Generative AI, AI-assisted development tools, Intelligent anomaly detection, Automated root cause analysis, Metadata enrichment, AI-ready data platforms
Technologies
Spark, PySpark, Cloud platforms, SQL, Python
Responsibilities
Define enterprise Data Quality strategy, roadmap, and architecture; Architect metadata-driven, reusable data quality capabilities; Design Data Quality observability solutions including trust scores and executive reporting; Partner with stakeholders to operationalize quality controls; Provide technical leadership and mentoring to engineering teams; Evaluate and implement data quality tools and emerging technologies.
Seniority
Principal, hands-on IC with strategic leadership
