Data Science Council of America
  • Certifications

    Certifications

    Explore DASCA’s comprehensive certification paths tailored for professionals in:

    Explore

    • > Check Your Eligibility

      Choose your qualification and experience level to find the DASCA certification that aligns with your career goals.

    • > Certification Process

      Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.

    • > DASCA Examination and Policies

      DASCA certification exams are available online worldwide, accessible in 180+ countries.

    • > Frequently Asked Questions 

      Find answers to common questions about DASCA certifications, exam process and policies.

    • > Digitally Badged Credentials

      Showcase your DASCA certification with digital badges recognized worldwide.

  • Accreditation
    DASCA Accredited
    • Accreditation Home

      Discover how DASCA Accreditation enhances data science and AI education, ensuring global recognition and academic excellence.

    • About DASCA Accreditation

      Understand how DASCA Accreditation sets the benchmark for excellence in data science and AI education, aligning institutions with global industry standards.

    • Accreditation Standards

      Examine the framework that upholds high benchmarks for curriculum, faculty expertise, and industry relevance in data science and AI programs.

    • Eligibility Criteria for Institutions

      Understand the institutional and program-level requirements to assess your readiness for pursuing DASCA Accreditation.

    • Accreditation Journey

      Explore the step-by-step process to achieve DASCA Accreditation through a rigorous, globally benchmarked, and digitally powered evaluation.

    • Accreditation Impact

      Discover how DASCA Accreditation enhances institutional reputation, academic quality, and global competitiveness in data science and AI education.

    • Resources for Institutions

      Access comprehensive guides, support tools, and subsidy programs designed to assist institutions throughout their accreditation journey.

    • DASCA Accreditation Advisors

      Learn about the global network of academic and industry experts who support institutions in delivering high-quality data science and AI education.

    • Frequently Asked Questions

      Get answers to common questions about institutional eligibility, the accreditation process, ongoing compliance and more.

    • Apply Today

      Begin your DASCA accreditation journey and position your institution among global leaders in data science and AI education.

  • Partnership

    Partner with DASCA: Drive Data Science Excellence

    Join the rapidly growing DASCA network of leading tech schools, higher education institutions, IT training companies, and government organizations. Partner with DASCA to prepare your students and professionals for globally recognized data science certifications. Start your partnership journey today.

    Know more
    • Universities & Institutions

      For Universities & Institutions

      Get your academic programs DASCA accredited and join an elite group of institutions shaping the future of data science. Leverage the World Data Science & AI Initiative's subsidy program to strengthen your academic offerings.

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    • Tech Companies & Other Organizations

      For Tech Companies & Other Organizations

      Get your teams DASCA-certified and ensure they meet global standards in data science. Partner with us to drive sustainable skills development and long-term growth for your organization.

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    • Training Companies

      For Training Companies

      Offer training programs that prepare candidates for DASCA certification exams. Position your academy as a trusted provider of exam-focused education for aspiring data science professionals.

      Read More>
    • Advocacy Partnership

      For Advocacy Partnership

      Collaborate with DASCA to promote standards-based data science education. Align your curriculum with DASCA’s globally recognized framework and contribute to advancing the field’s future.

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  • Framework
    DASCA EKF

    The DASCA Standard of Excellence in Credentialing

    The DASCA Body of Knowledge and the Essential Knowledge Framework (EKF™) define the foundational structure of all DASCA certifications. Together, they ensure that DASCA credentials reflect the highest standards of professional competency and knowledge depth across analytics, engineering, and AI.

    Read more
    • DASCA Body of Knowledge: Foundation for Certification

      The DASCA Body of Knowledge outlines the structured learning paths and core topic areas covered across all certification tracks. It reflects DASCA’s commitment to ensuring every certification is aligned with validated professional requirements and tested through role-relevant knowledge.

    • Essential Knowledge Framework (EKF™): Mapping Competence and Career Progression

      The Essential Knowledge Framework (EKF™) defines what data professionals need to know and how deeply across five critical domains. It maps these knowledge areas to three professional roles (Data Analyst, Data Engineer, Data Scientist) and aligns each with Functional, Professional, or Expert-level proficiency. The EKF™ serves as the global benchmark for designing DASCA certifications and guiding individuals, institutions, and employers in preparing for success in the data economy.

  • Initiatives
  • About

    About

    DASCA sets industry-leading standards, frameworks, certifications, and accreditation programs to develop skilled Data analysts, engineers, and data scientists.

    • The Credentialing Framework

      Uncover DASCA’s dynamic Credentialing Framework, which reinforces industry leadership through its Essential Knowledge Framework (EKF™) and Data Science body of knowledge.

    • DASCA Governance

      Learn about DASCA’s governance structure, ensuring neutrality, independence, and adherence to the highest credentialing standards.

    • The Code of Ethics

      Commit to integrity in data science. Discover the principles that guide DASCA-certified professionals in ethical, responsible, and transparent practices. 

    • The Data Science Era

      Explore how Data is transforming industries globally, driving innovation, and creating new opportunities across sectors.

    • Data Science Professions

      Discover the emerging career tracks in Data Science and how professionals are adapting to the rapidly evolving data landscape.

    Accreditation and Credentialing

    DASCA’s pioneering credentials for data analysts, data engineers, and data scientists are cross-platform, vendor-neutral, and adaptable across a wide range of industries and operational levels. Our certifications equip professionals with the skills they need to excel in today’s dynamic data landscape, ensuring they are prepared for diverse roles in data-driven environments.

    Get Started

    Start your data science journey with DASCA. Whether you're an individual pursuing certification, an institution seeking DASCA accreditation, or an organization exploring partnership, the process is simple and entirely online to help you achieve your goals.



    Contact Us

    For any questions about certifications, partnerships, or DASCA accreditation, feel free to get in touch.



    Newsroom

    Stay up to date with DASCA’s latest announcements and developments. Explore press releases, certification updates, expert insights on data science trends, and learn about DASCA’s global initiatives.

  • ☰
How To Become Certified SBDE™ | Download Brochure | DASCA

Master Data Engineering Technologies.
Design Scalable Solutions.
Lead Data Engineering Innovations.

The Senior Big Data Engineer (SBDE™) certification is a globally recognized, vendor-neutral credential tailored for experienced professionals seeking to advance their expertise in data engineering. SBDE™ validates your ability to design, implement, and manage complex data ecosystems, empowering you to build scalable, high-performance solutions that drive business transformation.

Whether you are refining your technical skills, progressing in your current role, or transitioning into leadership positions, SBDE™ equips you with the knowledge and credibility to thrive in the ever-evolving field of data engineering.

With SBDE™, you demonstrate your ability to:

  • Design and implement scalable, high-performance data architectures.

  • Manage and optimize data pipelines for seamless data flow and integration.

  • Work with advanced data platforms and technologies to solve complex engineering challenges.

Discover how SBDE™ can propel your data engineering expertise and prepare you for impactful roles in data-driven environments. Download your brochure and take the next step toward shaping the future of data engineering!

By clicking on the “Submit” button, you agreeing to the DASCA’s Terms of Use and Privacy Policy.

Why Choose SBDE™?

  • Validated Expertise in Data Engineering

    Validated Expertise 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.

  • Advanced Knowledge Framework

    Advanced Knowledge Framework

    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.

  • Globally Respected Credential

    Globally Respected Credential

    Showcase your expertise with a certification trusted by employers in 180+ countries, giving you a competitive edge in the global job market.

  • Vendor-Neutral, Cross-Platform Mastery

    Vendor-Neutral, Cross-Platform Mastery

    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.

Who Is It For?

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.

Eligibility Overview:

  • Educational Background: A Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Software Engineering, Applied Sciences, or a related field from a nationally or internationally accredited institution.
  • Professional Experience: At least 1–2 years of computing experience with proficiency in using Python/ Java or any other programming language.

Recommended Skills:

  • Proficiency in programming languages like Python, dbt, or Java.
  • Familiarity with distributed computing systems and platforms (e.g., dbt, Apache Hive, or Airflow).
  • Strong problem-solving skills and a deep understanding of data architectures.

Elevate Your Career with SBDE™

Certified Senior Big Data Engineers are recognized as industry leaders in designing scalable, high-performance data systems. Whether you aim to become a Lead Data Engineer, Data Architect, or move into senior technical roles, SBDE™ equips you with advanced skills to drive impactful solutions in the data-driven economy.

Why Choose SBDE™

Ready to Take the Next Step?

Download the SBDE™ Program Brochure Today

Frequently Asked Questions

Is SBDE™ certification globally recognized?

Yes. The SBDE™ (Senior Big Data Engineer) certification is globally recognized and respected as a senior-level credential for advanced data engineering expertise. It is based on a vendor-neutral framework that demonstrates your ability to design, build, and manage complex, enterprise-scale data systems, making it relevant to employers and senior data engineering roles worldwide.

How does SBDE™ compare to vendor-specific data engineering certifications?

The SBDE™ certification is vendor-neutral, focusing on core data engineering principles, architectures, and best practices that apply across platforms and technologies. It validates your ability to design and manage scalable, enterprise-level data systems regardless of specific tools or cloud providers.

In contrast, vendor-specific certifications focus on the technologies of a single platform. While valuable for platform expertise, they are more limited in scope.

SBDE™ builds broad, transferable senior-level expertise, while vendor certifications deepen skills in a single technology stack. Many professionals use SBDE™ as a strong foundation and complement it with platform-specific credentials to enhance specialization.

What is the cost of SBDE™ certification?

The SBDE™ (Senior Big Data Engineer) certification program fee is USD 875 (All Inclusive). This one-time fee covers the SBDE™ exam, access to digital exam preparation resources, and the credential kit, which includes a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with a digital badge. The fee also includes shipping of the credential kit.

What are the eligibility requirements for SBDE™ certification?

To be eligible for the SBDE™ certification, candidates must hold a Bachelor’s or Master’s degree in Computer Science, Data Science, IT, Software Engineering, Applied Sciences, or a related field, along with relevant computing or data engineering experience:

  • Bachelor’s degree with at least 2 years of computing experience with demonstrable proficiency in building or managing data systems using Python/Java or other languages.
  • Master’s degree with a minimum 1 year of hands-on experience in data engineering or infrastructure roles using modern data tooling and workflows.
  • Candidates from DASCA-Accredited/Recognized institutions may qualify through the ExpressTrack™ pathway with reduced experience requirements.
Who should pursue the SBDE™ certification?

The SBDE™ certification is ideal for experienced data professionals and mid- to senior-level engineers who want to validate their advanced expertise in designing, building, and managing large-scale data systems and pipelines. It’s especially suited for those working in or aspiring to roles such as Senior Data Engineer, Big Data Architect, Data Infrastructure Lead, or Analytics Engineering Manager.

Professionals with solid experience in data engineering, cloud platforms, ETL/ELT pipelines, workflow orchestration, and distributed systems will benefit most, as the credential demonstrates both technical depth and leadership readiness in complex, real-world data environments.

What is the exam duration for the SBDE™ certification exam?

The SBDE™ (Senior Big Data Engineer) certification exam has a duration of 100 minutes.