Senior Data Engineer

Overview

Senior Data Engineer

• Lakehouse Architecture & Implementation

• Data Ingestion & Pipeline Engineering

• Data Quality & Governance

• Implement automated data quality "circuit breakers" (completeness, uniqueness, referential integrity) and end-to-end data lineage tracking frameworks.
• Optimization:
• Optimize data processing workflows for performance, scalability, and cost-efficiency.
• System Monitoring and Maintenance:
• Monitor and maintain data systems, responding to SEVs or other urgent issues to ensure continuous operations.

• Security & Compliance

• Access Control Integration

• Capability Building & Handover

• Lead hands-on knowledge transfer sessions, pair-programming with client engineers, creating operational runbooks, and conducting "Game Day" failure simulations to ensure the client s team is fully ready to operate the platform independently.
• Education:
• Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
• Experience:
• 5+ years of proven experience in Data Engineering, Distributed Systems, or Big Data Architecture, with at least 2+ years specifically leading Data Lakehouse or Cloud Data Platform implementations.

Echnical Skills & Core Technologies

• Programming Languages:
• Proficiency in programming languages such as Python, Java, or Scala.

• Data Architecture & System Design

• Distributed Systems & Lakehouse Technologies

• ETL And ELT & Orchestration

• Experience designing and building robust data pipelines using modern transformation and orchestration tools (e.g., Apache Airflow, Prefect, dbt).
• Database Ecosystems:
• Proven track record with relational databases (e.g., PostgreSQL, MySQL), NoSQL platforms (e.g., MongoDB, Cassandra), and distributed SQL query engines like Hive and Trino.
• Cloud Infrastructure:
• Proven experience deploying enterprise data solutions on major cloud providers, specifically within localized Saudi cloud regions.
• Expertise in Oracle Cloud Infrastructure (OCI) or Google Cloud Platform (GCP) is highly preferred, though experience with AWS or Azure is acceptable.
• Analytical Skills:
• Strong problem-solving skills with a keen eye for detail and a passion for data.

• AI And Data Science Enablement

• Security & Networking

• Strong understanding of enterprise network security, Private Endpoints, Identity & Access Management (IAM), and cryptographic key management.
• Communication:
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Leadership Skills:
• Demonstrated ability to lead technical teams, manage stakeholder expectations, and successfully transition complex systems to internal IT/Data teams.
• Regulatory Knowledge:
• Familiarity with Saudi Arabian data compliance frameworks (NCA CCC, NDMO, SDAIA) is highly preferred.