Data Architect / Part-Time
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Before you apply
LocationCairo, Cairo Governorate, Egypt
Work modeon-site
Typefull-time
SeniorityLead
Experience15+ yrs
DepartmentSoftware Development
Company size51–200 people
PostedMar 29, 2026 · 7mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
15+ years of experience in data engineering
Bachelor's degree in Computer Science, Computer Engineering or other quantitative field
Ability to interact with stakeholders at multiple levels within a given organization, understand current analytical challenges and gathering requirements
A deep understanding of the evolution of analytical architectures from reporting databases to data warehouses, data lakes, data lakehouses, data fabrics, data meshes and beyond. A data architect should also be able to technically justify how a proposed architecture would suffice a potential client’s analytical needs
Extensive experience with Microsoft on-prem Data Platform or equivalent (SSIS, SSAS & SSRS)
Experience with optimizing query performance and setting up high availability configurations
Experience with multiple data cloud vendor such as Microsoft Azure data services (e.g. MS Fabric, ADF, …) or AWS (S3, Lake Formation, Glue, Redshift, Kinesis,..)
Experience with Large Processing store (Databricks or Snowflake) or equivalent
Strong Data warehouse Architecture and Dimensional modeling knowledge
Experience with Vibe Coding (e.g. Cursor/Codex/Claude Code)
Experience with building Agentic Frameworks and LLM orchestration (e.g. LangGraph/AutoGen/CrewAI/Llamaindex/n8n)
Experience with Agent Protocol (e.g. MCP)
Post Graduate degrees preferable
Familiarity with DataOps
Skills
SSIS
SSAS
SSRS
Microsoft Azure
MS Fabric
ADF
AWS
S3
Lake Formation
Glue
Redshift
Kinesis
Databricks
Snowflake
Cursor
Codex
Claude Code
LangGraph
AutoGen
CrewAI
Llamaindex
n8n
MCP
Benefits
Health insurance
Social insurance
We Are Hiring!
About the role
Integrant is looking for game changers to join our team as “Data Architect” to join us, who will be responsible for designing solutions for the ingestion, storage, processing, transformation, enrichment, and presentation of data for analytical consumption. Their duties include but are not limited to eliciting requirements, selecting and customizing analytical architectures to address customer needs, design and build data pipelines, building data strategies and coaching clients and internal teams in the latest architectures (Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes, etc.) and methodologies (DataOps, MLOps, etc.).
Requirements
•
15+ years of experience in data engineering.
•
Bachelor’s degree in Computer Science, Computer Engineering or other quantitative field. Post Graduate degrees preferable.
•
The ability to interact with stakeholders at multiple levels within a given organization, understand current analytical challenges and gathering requirements.
•
A deep understanding of the evolution of analytical architectures from reporting databases to data warehouses, data lakes, data lakehouses, data fabrics, data meshes and beyond. A data architect should also be able to technically justify how a proposed architecture would suffice a potential client’s analytical needs.
•
Extensive experience with Microsoft on-prem Data Platform or equivalent (SSIS, SSAS & SSRS).
•
Experience with optimizing query performance and setting up high availability configurations.
•
Experience with multiple data cloud vendor such as Microsoft Azure data services (e.g. MS Fabric, ADF, …) or AWS (S3, Lake Formation, Glue, Redshift, Kinesis,…)
•
Experience with Large Processing store (Databricks or Snowflake) or equivalent
•
Strong Data warehouse Architecture and Dimensional modeling knowledge
•
Experience with Vibe Coding (e.g. Cursor/Codex/Claude Code)
•
Experience with building Agentic Frameworks and LLM orchestration (e.g. LangGraph/AutoGen/CrewAI/Llamaindex/n8n)
•
Experience with Agent Protocol (e.g. MCP)
•
Familiarity with DataOps.
Benefits
•
Salary paid in USD
•
Six-month career advancing opportunities
•
Supportive and friendly work environment
•
Premium medical insurance [employee +family]
•
English language development courses
•
Interest-free loans paid over 2.5 years
•
Technical development courses
•
Planned overtime program (POP)
•
Employment referral program
•
Premium location in Maadi
•
Social insurance