Senior Databricks Engineer | Lead Data Platform Architect

LAKEORA; Riyadh; On-site; SAR 260,000 - 420,000; Full time

Job summary

LAKEORA, a Riyadh-based data and AI advisory firm and a Databricks partner, seeks a Senior Data Engineer who owns the full cycle of Databricks implementations: discovery, architecture, delivery, and the demo that wins the room.

Engineers at LAKEORA are client-facing by design. You will work with client stakeholders, shape data platform strategies, and deliver technical demos that make value tangible. A lean team, high visibility, and real impact await.

Qualifications

• 5+ years of data engineering with hands-on Spark (PySpark and SQL).
• Strong SQL fundamentals beyond syntax.
• Deep Databricks knowledge: Lakehouse, Medallion, Delta Lake, Unity Catalog.
• Hands-on Databricks: Lakeflow Jobs, Declarative Pipelines, AI/BI Dashboards, Genie.
• Cloud experience on Azure, AWS, or GCP.
• Data warehousing, data modeling, ETL/ELT design, pipeline architecture.
• Strong communication with technical and business stakeholders.
• Experience with Git and CI/CD.

Responsibilities

• Design and build scalable data pipelines on Databricks.
• Lead or support technical discovery sessions with clients.
• Deliver tailored demos showing business value and technical depth.
• Translate client requirements into delivery scopes and estimates.
• Act as technical lead across engagements from design to implementation.
• Apply engineering best practices: code reviews, testing, version control.
• Mentor junior engineers and raise the team's standards.
• Stay current on Databricks, Data, GenAI and AI trends.

Skills

PySpark

SQL

Databricks

Lakehouse

CI/CD

Education

Bachelor's degree in CS/SE/Math

Tools

Git

CI/CD tools

Delta Lake

Unity Catalog

Job description

LAKEORA, a Riyadh-based data and AI advisory firm and a Databricks partner, seeks a Senior Data Engineer who owns the full cycle of Databricks implementations: discovery, architecture, delivery, and the demo that wins the room.

Engineers at LAKEORA are client-facing by design. You will work with client stakeholders, shape data platform strategies, and deliver technical demos that make value tangible. A lean team, high visibility, and real impact await.