✨ AI Summary
This is a 4-month contract role for a Data Architect, working remotely. The primary responsibility is to design, build, and optimize scalable data pipelines and enterprise-level data architecture. The role focuses on technical leadership in driving the architecture and delivery of data solutions for analytics, reporting, and AI/ML initiatives. The ideal candidate will be hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments. Key responsibilities include designing and implementing data pipelines, building and maintaining enterprise data architecture on cloud platforms, defining data modeling strategies, collaborating with stakeholders, ensuring data quality and governance, and providing technical direction.
The requirements include a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, with over 6 years of experience in data engineering and data architecture. Essential hands-on experience includes Snowflake, ETL/ELT pipelines, data lakes, data warehouses, and cloud platforms (AWS, Azure, GCP). Proficiency in SQL and at least one programming language (Python, Java, Scala), experience with streaming technologies, and a strong understanding of data modeling, governance, security, and compliance are also necessary. Excellent problem-solving and communication skills are expected.
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 stakeholdersNice 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)
Description
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