Data Architect (4 Months Contract ) Remote - Octopus by RTG
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 159d ago
The date the source published, not the day we noticed it (2026-05-05). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Egypt, Saudi Arabia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $130k–208.2k/yr
Middle 50% of 140 listings that do state pay — Engineering · all levels · EMEA · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 15h ago · last seen 1h ago
The listing
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)