We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.
This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.
Key Responsibilities
- Design and implement scalable, high-performance data pipelines for structured and unstructured data
- Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP)
- Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming)
- Collaborate with business stakeholders to translate requirements into technical solutions
- Ensure data quality, governance, security, and compliance across all data assets
- Perform complex data analysis and support reporting and analytics initiatives
- Evaluate and recommend modern tools, frameworks, and best practices in data engineering
- Integrate data from multiple sources and optimize data performance
- Provide technical direction and architectural guidance across data projects
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
- 6+ years of experience in data engineering and data architecture in enterprise environments
- Hands-on experience with Snowflake is required
- Strong experience with ETL/ELT pipelines, data lakes, and data warehouses
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Experience with streaming technologies (Kafka, Spark Streaming, or similar)
- Strong understanding of data modeling, dimensional modeling, and schema design
- Knowledge of data governance, security, and compliance
- Strong problem-solving skills and ability to work independently
- Excellent communication skills with both technical and non-technical stakeholders
Nice to Have
- Experience working in Middle East markets or familiarity with Saudi Arabia regulations
- Exposure to AI/ML integration within data pipelines
- Cloud certifications (AWS, Azure, or GCP Data Engineering certifications)
- Experience with BI tools (Power BI, Tableau, Looker, or similar)