Corporate Trainer – Databricks & Cloud Data Platforms

About the role

We are seeking an experienced Corporate Trainer to deliver instructor‑led and virtual training on Databricks, Microsoft Fabric, Azure Data Engineering, Apache Spark and related technologies. The role involves guiding enterprise learners through hands‑on labs, real‑world scenarios and certification preparation.

Key responsibilities

• Design and deliver training sessions (in‑person and virtual) on Databricks, Azure, Spark, Fabric and related tools.
• Facilitate hands‑on labs and technical exercises for enterprise audiences.
• Teach Data Governance concepts using Purview, Collibra and Lakehouse Architecture.
• Prepare learners for certification exams and provide exam readiness support.
• Develop and continuously improve advanced technical training content for cloud data platforms.
• Stay current with AI‑ready data platforms, ETL, Big Data and analytics trends.
• Travel globally for client training engagements as required.

Required profile

• B.Tech/M.Tech/MCA in Computer Science, IT, Data Science or related field.
• 5–20 years of experience in Data Engineering, Analytics or Cloud Data platforms.
• Microsoft Certified Trainer (MCT) certification (mandatory).
• Relevant certifications preferred (Databricks Certified Data Engineer, Azure Data Engineer Associate, SnowPro, AWS Data Analytics Specialty, Google Professional Data Engineer).
• Strong communication, presentation and learner‑engagement skills.
• Prior corporate training or consulting experience highly preferred.

Required skills

• Databricks
• Microsoft Fabric
• Azure Data Engineering
• Apache Spark & PySpark
• Kafka
• Azure Databricks
• Power BI
• ETL processes
• Purview
• Collibra
• Lakehouse Architecture
• Snowflake
• AWS Data Analytics
• Google Cloud Data Engineering