
2 - 10 employees
Founded 2026
πΌ Consulting
π€ Artificial Intelligence
π€ B2B
Consulting β’ Artificial Intelligence β’ 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.
π₯ 41 minutes ago
π Saudi Arabia, Egypt, +2 more countries β Remote
β° Full Time
π‘ Mid-level
π Senior
β¨ Instructor
π» Ghost score 15%
Where this job comes from
Posted on LAKEORA's careers page, not through a job board
First seen by Remote Rocketship 41 minutes ago

2 - 10 employees
Founded 2026
πΌ Consulting
π€ Artificial Intelligence
π€ B2B
Consulting β’ Artificial Intelligence β’ 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.
β’ Deliver instructor-led Databricks training programs, workshops, and technical enablement sessions β’ Facilitate theoretical and hands-on learning across relevant Databricks technologies β’ Guide participants through labs, exercises, demonstrations, and real-world use cases β’ Explain complex data engineering, analytics, AI, and lakehouse concepts clearly β’ Prepare and maintain training environments, materials, exercises, and supporting documentation β’ Adapt delivery based on participants' technical backgrounds and learning needs β’ Evaluate participant progress and provide constructive technical feedback β’ Stay current with Databricks platform developments, certifications, and recommended practices β’ Support internal and client enablement initiatives β’ Maintain high standards of training delivery and learner experience
β’ Active relevant Databricks certification(s) β’ Strong hands-on experience with the Databricks platform β’ Experience delivering technical training, workshops, or enablement sessions β’ Strong understanding of data engineering, analytics, lakehouse, or related data concepts β’ Excellent presentation, facilitation, and communication skills β’ Ability to explain complex technical concepts to audiences with different experience levels β’ Strong English communication skills β’ Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field β’ Databricks instructor accreditation or previous experience delivering official Databricks training (preferred) β’ Multiple Databricks certifications (preferred) β’ Experience with Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog (preferred) β’ Knowledge of cloud platforms such as Azure, AWS, or GCP (preferred) β’ Experience training enterprise clients (preferred) β’ English proficiency and Arabic is a plus β’ Experience within consulting, professional services, or technology training environments (preferred)
β’ Equal opportunity employer β’ Interview recording is used only internally for evaluation β’ Candidates may opt out of interview recording without impact on candidacy
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.