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The SBDE™ certification, built on the comprehensive DASCA-EKF™ framework, is a globally recognized credential for experienced data engineers and IT professionals. Whether you’re looking to refine your technical skills, take on leadership roles, or lead enterprise-scale data infrastructure projects, SBDE™ equips you with the advanced expertise and credibility to thrive in data engineering.
SBDE™ certifies your ability to design and manage large-scale data systems, preparing you to solve complex challenges across industries like technology, finance, healthcare, and more.
Aligned with DASCA’s Essential Knowledge Framework (EKF™), SBDE™ builds advanced expertise in orchestration, data modeling, AI & LLM infrastructure, and tools like Apache Airflow, Hive, Kafka, and dbt.
Showcase your expertise with a certification trusted by employers in 180+ countries, giving you a competitive edge in the global job market.
SBDE™ ensures you can work seamlessly with a variety of data tools and platforms, making you adaptable and future-ready in a rapidly advancing industry.
The SBDE™ certification is designed for data engineers, IT professionals, and technical specialists aiming to enhance their expertise and take on leadership roles in data engineering. It’s ideal for individuals eager to lead the design and implementation of enterprise-scale data infrastructure.
Your Path to the SBDE™ Certification in Six Simple Steps:
Build and optimize large-scale data pipelines and platforms for enterprise applications.
Master tools like Airflow, Hive, Kafka, and dbt to build and manage high-performance data ecosystems.
Design and deploy scalable, cloud-based data solutions using platforms like AWS and Azure.
Lead cross-functional teams and align technical data initiatives with organizational goals.
The one-time USD 875 fee covers the certification exam, access to digital exam preparation resources, a digital badge, and the credential kit, including shipping.
The SBDE™ credential prepares you for senior roles in data science, including data engineering, data architecture and other specialized areas of the profession. It equips you to design and manage complex data systems, lead large-scale initiatives, and drive innovation in data-driven organizations.
Upon successfully passing the SBDE™ certification exam, candidates are awarded a credential kit containing a physical certificate, a commemorative lapel pin, and a digital badge. These physical and digital representations of their achievement serve as a testament to their expertise and dedication in data engineering tools and technologies.
The SBDE™ certification must be renewed every five years to keep your credential current. You can log in to your myDASCA dashboard and register for SBDE™ renewal, pay the renewal fee, and complete the required Declaration on Continuing Learning. No additional training or exam is needed, though you may be asked to provide supporting documents. Renewal decisions are usually communicated within 3–5 business days, with the updated SBDE™ digital badge issued in 2–3 days and the physical certificate shipped within 3–4 weeks.
The SBDE™ (Senior Big Data Engineer) certification exam is designed to be rigorous and advanced, reflecting the skills required for senior-level data engineering roles. It evaluates candidates on complex, real-world concepts such as large-scale data architecture, distributed systems, pipeline automation, cloud platforms, streaming data, governance, and integration with analytics and AI workflows.
The exam is best suited for professionals with hands-on experience in production environments. With practical background and focused preparation, experienced data engineers can approach the exam with confidence.
The SBDE™ (Senior Big Data Engineer) is specifically designed for mid-career and experienced data engineering professionals who already work with complex data systems and want to advance into senior or leadership roles.
It focuses on enterprise-scale architectures, advanced pipelines, governance, automation, and AI/ML-ready infrastructure, making it ideal for professionals seeking to deepen their technical expertise and take on greater strategic responsibility in data engineering teams.
Yes. The SBDE™ exam coverage is explicitly designed to reflect real-world, enterprise-scale data engineering use cases. It evaluates candidates on complex data systems and workflows used in large organizations by covering practical domains such as data ingestion and transformation, storage and management architectures, pipeline orchestration with monitoring, data governance and security, advanced data modeling, streaming data processing, AI/ML integration, and generative AI operations. These topics align closely with the tasks and challenges faced by senior data engineers in production environments.
For full exam coverage details, visit the SBDE™ certification page here.
Yes. The SBDE™ certification must be renewed every five years to keep your credential current and recognized. Renewal is done through your myDASCA dashboard, where you register, pay the applicable renewal fee, and submit a declaration of your continuing professional development and learning efforts. No additional exam or training is required for renewal, though DASCA may ask for documentation supporting your professional development.
For more details on the renewal process and requirements, please visit here.