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)

Originally posted on Himalayas