Certified Databricks Instructor

Lakeora; Riyadh; Hybrid; SAR 180,000 - 320,000; Full time

Benefits offered by this job

Competitive salary package

Flexible remote-first work environment

Premium medical insurance

Performance-based bonuses

Professional development & training

Mentorship from experts

Paid annual leave & public holidays

Job summary

LAKEORA, a Riyadh-based data and AI advisory firm and Databricks partner, seeks a Certified Databricks Instructor to deliver high-quality technical training to professionals and enterprise clients. You’ll translate complex technical concepts into practical, hands-on learning, tailoring sessions for diverse backgrounds and keeping skills current with Databricks platform developments.

This remote-first role offers flexible learning environments, competitive compensation, and opportunities for

Qualifications

• Active relevant Databricks certification(s)
• Strong hands-on experience with the Databricks platform
• Experience delivering technical training, workshops, or enablement sessions
• Strong understanding of data engineering, analytics, lakehouse, or related data concepts
• Excellent presentation, facilitation, and communication skills
• Ability to explain complex technical concepts to audiences with different experience levels
• Strong English communication skills
• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field

Responsibilities

• Deliver instructor-led Databricks training programs, workshops, and technical enablement sessions
• Facilitate both theoretical and hands-on learning across relevant Databricks technologies
• Guide participants through labs, exercises, demonstrations, and real-world use cases
• Explain complex data engineering, analytics, AI, and lakehouse concepts clearly
• Prepare and maintain training environments, materials, exercises, and supporting documentation
• Adapt delivery based on participants' technical backgrounds and learning needs
• Evaluate participant progress and provide constructive technical feedback
• Stay current with Databricks platform developments, certifications, and recommended practices
• Support internal and client enablement initiatives
• Maintain consistently high standards of training delivery and learner experience

Skills

Databricks Certification

Databricks hands-on

Training delivery

Data engineering concepts

Presentation skills

Explain complex concepts

English communication

Education

Bachelor’s degree in CS/Data/IT

Tools

Apache Spark

PySpark

Delta Lake

Unity Catalog

Azure/AWS/GCP

Job description

LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide across many, with governance designed in from the start. We are early-stage, flat, and deliberately small. You work directly with customers, own the architecture you design, and see it reach production. We like engineers who are direct, curious, and would rather get something right than get it agreed.

What are we looking for?

We're looking for a Certified Databricks Instructor who can deliver high-quality technical training and enable professionals to build practical skills across the Databricks Data Intelligence Platform.

You’ll combine strong Databricks expertise with excellent instructional and communication skills, delivering engaging learning experiences for technical professionals and enterprise clients.

This role is ideal for someone who enjoys translating complex technical concepts into clear, practical, hands-on learning.

Key Responsibilities

• Deliver instructor-led Databricks training programs, workshops, and technical enablement sessions

• Facilitate both theoretical and hands-on learning across relevant Databricks technologies

• Guide participants through labs, exercises, demonstrations, and real-world use cases

• Explain complex data engineering, analytics, AI, and lakehouse concepts clearly

• Prepare and maintain training environments, materials, exercises, and supporting documentation

• Adapt delivery based on participants' technical backgrounds and learning needs

• Evaluate participant progress and provide constructive technical feedback

• Stay current with Databricks platform developments, certifications, and recommended practices

• Support internal and client enablement initiatives

• Maintain consistently high standards of training delivery and learner experience

Qualifications

Required

• Active relevant Databricks certification(s)

• Strong hands-on experience with the Databricks platform

• Experience delivering technical training, workshops, or enablement sessions

• Strong understanding of data engineering, analytics, lakehouse, or related data concepts

• Excellent presentation, facilitation, and communication skills

• Ability to explain complex technical concepts to audiences with different experience levels

• Strong English communication skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field

Preferred

• Databricks instructor accreditation or previous experience delivering official Databricks training

• Multiple Databricks certifications

• Experience with Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog

• Knowledge of cloud platforms such as Azure, AWS, or GCP

• Experience training enterprise clients

• English proficiency and Arabic is a plus

• Experience within consulting, professional services, or technology training environments

Benefits & Perks

• Competitive salary package based on experience and capabilities

• Flexible remote-first work environment with work-from-home options depending on responsibilities

• Premium medical insurance coverage

• Performance-based bonuses and career growth opportunities

• Sponsored professional development, training, and certification opportunities

• Direct mentorship from experienced data, AI, and technology professionals

• Paid annual leave and public holidays

LAKEORA is an equal opportunity employer and assesses every application on merit.