Integrant, Inc.

Data Architect

Integrant, Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Cairo • Egypt

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSAzureCloudSSIS

About the role

  • - Designing solutions for data ingestion, storage, processing, transformation, enrichment, and presentation for analytical purposes.
  • - Eliciting requirements and customizing analytical architectures to meet customer needs.
  • - Designing and building data pipelines and strategies.
  • - Coaching clients and internal teams on the latest architectures 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata ingestiondata storagedata processingdata transformationdata enrichmentdata pipelinesquery performance optimizationdata warehouse architecturedimensional modeling
Soft Skills
stakeholder interactionrequirement gatheringcoaching