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

About this 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)

Originally posted on Himalayas