To help professionals showcase their advanced expertise in working with Snowflake, the company offers a series of SnowPro Advanced Certifications. These role-based certifications validate hands-on skills and in-depth knowledge across multiple disciplines such as architecture, engineering, science, analysis, and administration. SnowPro Advanced Certifications are designed for experienced Snowflake professionals who want to validate their capabilities in real-world, production environments. Each certification targets a specific role and evaluates your ability to design, implement, and optimize Snowflake-based solutions to meet complex business needs.
Here's a breakdown of the current advanced certifications offered by Snowflake:
Exam: ARA-C01
This certification focuses on designing scalable and secure data architectures using the Snowflake platform. Candidates are tested on their ability to:
●Create end-to-end data flows from source to consumption
●Address security, compliance, and business requirements
●Select and integrate third-party tools effectively
●Deploy shared datasets using Snowflake Marketplace and Data Exchange
Ideal Candidate: 2+ years of Snowflake experience as an architect, with additional skills in DevOps/DataOps and non-SQL programming languages.
Exam: DEA-C02
This exam targets professionals who design and implement data pipelines and transformations using Snowflake. It covers:
●Sourcing data from lakes, APIs, and on-premises
●Building near real-time data streaming architectures
●Designing scalable compute solutions
●Evaluating system performance and efficiency
Ideal Candidate: Data engineers with at least 2 years of production-level Snowflake experience.
Exam: DSA-C03
This certification validates the ability to perform machine learning and advanced data science on Snowflake. Candidates are tested on:
●Data preparation and feature engineering
●Training and applying machine learning models
●Using GenAI and LLMs with Snowflake
●Applying Snowflake’s best practices for data science
Ideal Candidate: Data scientists with 2+ years of Snowflake experience and proficiency in Python, R, SQL, or PySpark.
Exam: ARA-C01
Designed for Snowflake administrators, this exam evaluates the skills to:
●Manage accounts, virtual warehouses, and database objects
●Administer security, backup, and replication
●Perform performance tuning and data sharing
●Ensure business continuity with disaster recovery procedures
Ideal Candidate: 2+ years of administrative experience in Snowflake, with strong SQL knowledge.
Exam: DAA-C01
This certification validates an analyst's ability to work with Snowflake to derive insights and communicate findings. The exam assesses the ability to:
●Load and prepare data for analysis
●Perform advanced SQL queries and transformations
●Use UDFs and built-in functions
●Perform forecasting and data presentation
Ideal Candidate: At least 1 year of Snowflake experience as a Data Analyst, with solid SQL and optional programming skills.
Demonstrate Expertise: Show employers and clients your deep Snowflake skills.
Boost Career Opportunities: These certifications are highly respected in data engineering, architecture, and analytics roles.
Stay Competitive: With Snowflake rapidly evolving, being certified shows you're keeping up with best practices.
Support Real-World Projects: Certified professionals are equipped to design and support enterprise-scale Snowflake solutions.
Whether you're a data engineer building real-time pipelines, a data scientist applying machine learning, or a solutions architect designing multi-cloud data platforms, there's a SnowPro Advanced certification that aligns with your expertise. Earning one of these certifications is not just a career milestone - it's a testament to your ability to deliver value in today's data-driven world.