The SBDE™ credential affirms advanced proficiency in architecting and optimizing enterprise-scale data engineering systems. Certified professionals demonstrate the ability to design, orchestrate, and secure complex data infrastructures, integrating both traditional and emerging technologies to deliver reliable, scalable, and business-aligned outcomes.
Earning the SBDE™ validates a professional’s readiness to:
This certification demonstrates capability not only in advanced technical execution but also in strategic decision-making, governance, and leadership of mission-critical data operations.
The SBDE™ exam evaluates applied expertise across domains essential for senior data engineers, including:
Data ingestion and transformation
Data storage and management
Data pipeline orchestration and monitoring
Data security and governance
Data modeling and architecture
Streaming data processing
AI/ML integration pipelines
Generative AI and LLM operations
The Data Science Council of America (DASCA) is the world’s foremost standards and credentialing body for data science professionals. Widely recognized for its pioneering, vendor-neutral frameworks, DASCA provides a rigorous structure for certifying expertise in data engineering, analytics, and data leadership. Through its globally benchmarked credentials, DASCA equips professionals and institutions to excel in the data-driven economy, advancing the frontiers of practice, governance, and leadership in data science worldwide.