
2 - 10 employees
Founded 2026
💼 Consulting
🤖 Artificial Intelligence
🤝 B2B
Consulting • Artificial Intelligence • B2B
LAKEORA is a Saudi Data & AI advisory firm and pure-play Databricks partner headquartered in Riyadh. It designs and delivers governed data foundations (lakehouse architecture) in customers' cloud tenants, sequences platform architecture, governance and operational intelligence into a single program, and deploys analytics, ML/AI and agents into production with built-in lineage, access controls and compliance. LAKEORA targets sectors where data architecture carries high consequence (manufacturing & industrial, logistics & transportation, government, financial services) and offers a pre-configured governed Databricks environment (Lakeora Asas), migration and modernization, AI governance aligned to frameworks such as the EU AI Act and NIST AI RMF, and capability transfer to client teams.
🔥 1 hour ago
🌐 Saudi Arabia, Egypt, +2 more countries – Remote
⏱ Part Time
🟡 Mid-level
🟠 Senior
✨ Instructor
👻 Ghost score 15%
Where this job comes from
Posted on LAKEORA's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago

2 - 10 employees
Founded 2026
💼 Consulting
🤖 Artificial Intelligence
🤝 B2B
Consulting • Artificial Intelligence • B2B
LAKEORA is a Saudi Data & AI advisory firm and pure-play Databricks partner headquartered in Riyadh. It designs and delivers governed data foundations (lakehouse architecture) in customers' cloud tenants, sequences platform architecture, governance and operational intelligence into a single program, and deploys analytics, ML/AI and agents into production with built-in lineage, access controls and compliance. LAKEORA targets sectors where data architecture carries high consequence (manufacturing & industrial, logistics & transportation, government, financial services) and offers a pre-configured governed Databricks environment (Lakeora Asas), migration and modernization, AI governance aligned to frameworks such as the EU AI Act and NIST AI RMF, and capability transfer to client teams.
• Deliver instructor-led Databricks training programs, workshops, and technical enablement sessions • Facilitate 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 • Prepare and maintain training environments, materials, exercises, and supporting documentation • Adapt delivery to 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 high standards of training delivery and learner experience
• 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 • Databricks instructor accreditation or previous experience delivering official Databricks training (preferred) • Multiple Databricks certifications (preferred) • Experience with Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog (preferred) • Knowledge of cloud platforms such as Azure, AWS, or GCP (preferred) • Experience training enterprise clients (preferred) • English proficiency; Arabic is a plus • Experience within consulting, professional services, or technology training environments (preferred)
• Equal opportunity employer • Interview recording is optional; opting out will not impact candidacy • AI interview recording/transcription used internally for evaluation
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