Enqurious Helped $700M Enterprise AI Company Achieve 97% Certification Clearance Rate for Databricks and Snowflake Data Engineers
Context
A $700M Enterprise AI Company sought to build a talent pool of industry-ready Databricks and Snowflake Data Engineers. The challenge was to develop a learning experience that went beyond certification exams, providing candidates with practical, real-world project experience. Enqurious partnered with the client to create a hands-on, scenario-driven learning path that increased certification clearance rates and equipped learners with real-world skills.
Problem Statement
The AI company had two primary objectives:
Certification Clearance Rate: The goal was to have learners achieve a high clearance rate for both Databricks and Snowflake certifications.
Real-World Project Exposure: The aim was to equip candidates with practical, industry-relevant skills, moving beyond just passing exams to becoming job-ready engineers. This practical experience was key to the client’s vision of developing capable data engineers who could seamlessly integrate into real-world business projects.
The challenge was to design an immersive, hands-on learning experience that not only prepared learners for certification but also provided them with the skills required for real-world data engineering tasks.
How We Helped
Enqurious designed a 4-week, scenario-driven, lab-integrated skill path tailored specifically to the client’s needs. The learning path included:
Masterclasses: Focused on foundational concepts in Databricks and Snowflake, building strong industry-specific knowledge for learners.
Lab-Integrated Scenarios: Seamlessly integrated sandboxes with industry-inspired scenarios. These scenarios covered the full scope of real-world data engineering tasks, including architecture design, data ingestion, and complex workflows in the E-commerce domain. The scenarios were crafted to replicate challenges learners would face in actual job roles, ensuring they gained hands-on experience.
Mock Tests: Full-length mock tests designed to closely mirror the actual certification exams. These were structured to familiarize learners with the exam format and provide a realistic testing environment to assess their readiness.
Metrics & Value Proposition
Early Warning System: A proactive approach to learner engagement, identifying candidates who might need additional support. This early intervention system ensures timely actions are taken to boost learner success.
Skill Intelligence: In-depth insights into learners' skill development, enabling focused improvement in areas that need the most attention. By honing in on these targeted areas, learners can optimize their study time, avoid unnecessary broad mock tests, and enhance their efficiency.
Learning Progress Tracking: Continuous monitoring of learner progression to ensure they remain on track. This feature helped both learners and instructors keep a clear overview of development.
Automated Recommendation List: A system that provides personalized recommendations based on the learner's progress. This feature acts as a guide for learners, offering suggestions on when they are ready to sit for the certification exams, helping them maximize their time and efforts effectively.
The Impact Experienced
Certification Success:
97% clearance rate for Databricks Associate Data Engineer Certification, with 400 learners successfully passing.
92% clearance rate for SnowPro Core Certification, with 350 learners successfully passing.
Increased Business Value:
20% increase in differential billing due to the enhanced capabilities of the certified learners.
