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

• 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

• 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

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) Originally posted on Himalayas Data-Architecture, Data-Engineering, Data-Engineer, Data-Pipeline-Engineering, Cloud-Data-Engineering, Data-Architect-Senior-Consultant, Senior-Data-Architect, Data-Architect