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Integrant

Enterprise software engineering with AI agents

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Part-timeCairo, Cairo Governorate, EgyptNo salary listedHybrid

About the Job

Requirements

  • At least 15 years of experience in data engineering.
  • A bachelor's degree in Computer Science, Computer Engineering, or another quantitative field.
  • Ability to interact with stakeholders at multiple organizational levels, understand current analytical challenges, and gather requirements.
  • Deep understanding of analytical architecture evolution, including reporting databases, data warehouses, data lakes, data lakehouses, data fabrics, and data meshes, and ability to technically justify proposed architectures against client analytical needs.
  • Extensive experience with Microsoft on-premises Data Platform or an equivalent, including SSIS, SSAS, and SSRS.
  • Experience optimizing query performance and setting up high-availability configurations.
  • Experience with multiple data cloud vendors, such as Microsoft Azure data services (including MS Fabric and ADF) or AWS (including S3, Lake Formation, Glue, Redshift, and Kinesis).
  • Experience with a large processing store such as Databricks or Snowflake, or an equivalent.
  • Strong data warehouse architecture and dimensional modeling knowledge.
  • Experience with vibe coding tools such as Cursor, Codex, or Claude Code.
  • Experience building agentic frameworks and LLM orchestration using tools such as LangGraph, AutoGen, CrewAI, LlamaIndex, or n8n.
  • Experience with Agent Protocol, such as MCP.
  • Familiarity with DataOps.

Responsibilities

  • Design solutions for data ingestion, storage, processing, transformation, enrichment, and presentation for analytical consumption.
  • Elicit requirements and select and customize analytical architectures to address customer needs.
  • Design and build data pipelines.
  • Build data strategies.
  • Coach clients and internal teams in current architectures and methodologies.

Desired Qualifications

  • Postgraduate degrees are preferred.

About the Company

Integrant

Enterprise software engineering with AI agents

Integrant builds enterprise software for regulated industries like medical devices, life sciences, pharma, financial services, manufacturing, and the public sector. Their offerings include full platform development, modernization of legacy systems, or embedding AI agents into client workflows. It uses the Agentic Software Development Life Cycle (ADLC), where AI agents assist across requirements, architecture, build, test, and deployment, while engineers with deep domain knowledge govern every step to ensure quality. Unlike many firms, Integrant combines top-tier engineering talent (the top 1% in a demanding market), a long-track record in regulated environments, and responsible AI acceleration with engineer accountability. Their goal is to be the trusted technology partner clients rely on for mission-critical software that lasts. Headquartered in San Diego with engineering centers in Cairo and Amman.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1992

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