Data Architect (4 Months Contract ) Remote - Octopus by RTG
At a glance
Mid-level Data Architecture & Governance role at robusta. Remote, Egypt.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune data pipelines that handle structured and unstructured information at scale
- Shape data architectures across cloud and on-prem setups, including warehouses, lakes and streaming systems
- Turn business needs into technical designs while setting direction for data projects
- Protect data quality and governance, and support analytics, reporting and AI/ML work
- Connect information from multiple sources and improve how quickly data systems perform
What you bring
- At least six years working in enterprise data engineering and architecture
- Hands-on Snowflake experience is required
- Practical background with ETL/ELT pipelines, data lakes and warehouses
- Experience with a major cloud platform, plus SQL and one programming language
Who this fits
This suits a hands-on senior data specialist who can guide technical decisions without managing people. The role is remote in Egypt and runs as a four-month contract.
From the employer
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)
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