Data Architect (4 Months Contract ) Remote - Octopus by RTG
LocationSaudi Arabia
Work moderemote
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentOctopus Talents '25
Company size67+ people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have11
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 have4
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)
Skills
Snowflake
AWS
Azure
GCP
SQL
Python
Java
Scala
Kafka
Spark Streaming
Power BI
Tableau
Looker
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)