Data Architect (4 Months Contract ) Remote - Octopus by RTG

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)