Data Architect

We Are Hiring!
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.
). 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 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.