Sr. Solutions Architect Saudi Arabia
Databricks1 day ago
Riyadh, Saudi ArabiaSenior
Responsibilities
- Form successful relationships with enterprise clients throughout Saudi Arabia and provide technical and business value in collaboration with Account Executives.
- Advise customers on architecture, design, implementation, and adoption of the Databricks Data Intelligence Platform.
- Develop and deliver complex proofs of concept and solution architecture designs for multiple audiences.
- Author reference architectures, how-to materials, and demo applications.
- Lead customer workshops, seminars, and meet-ups and help build the regional Databricks community.
- Develop technical and/or industry specialization while supporting technical sales and customer use-case discovery.
Requirements
- Business proficiency in both Arabic and English is required.
- Prior coding experience in Python, Java, or Scala and willingness to learn a base level of Spark.
- Hands-on expertise with big data analytics technologies, complex proofs of concept, and public cloud platforms.
- Experience with use-case discovery, scoping, and delivering complex solution architecture designs.
- Ability to engage customers in technical sales, communicate technical and value propositions, and adapt technical depth for multiple audiences.
- Ability to work in the Riyadh region within commuting distance for a hybrid schedule.
- Flexibility to travel up to 30% for customer meetings, events, and training.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available from Databricks.
- Hybrid schedule based within commuting distance of the Riyadh region.
- Up to 30% travel may be required for customer meetings, events, and training.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.