robusta
Data Architect (4 Months Contract ) Remote - Octopus by RTG
Riyadh, Saudi ArabiaPosted 5 months ago
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- Salary
- AED 29k–49k a month· est.
- Job type
- Contract
- Level
- Senior
- Field
- Data & Analytics
- Work mode
- Remote
About the role
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)
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
Skills
- Snowflake
- ETL/ELT pipelines
- data lakes
- data warehouses
- cloud platforms (AWS)
- Azure
- GCP
- SQL
- Python
- Java
- Scala
- Kafka
- Spark Streaming
- data modeling
- data governance
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