Data Architect

Integrant is seeking a part-time Data Architect with 15+ years of experience to design comprehensive data solutions. Responsibilities include data ingestion, storage, processing, transformation, enrichment, and presentation for analytical consumption. The role involves eliciting requirements, selecting architectures, building data pipelines, and coaching teams on Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes, DataOps, and MLOps. Candidates need strong experience with Microsoft and AWS data services, large processing stores, and modern AI/ML frameworks.

Must Have

• 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
• Understand analytical challenges and gather requirements
• Deep understanding of analytical architectures evolution
• Technically justify proposed analytical architectures
• Experience optimizing query performance and high availability configurations
• Designing solutions for data ingestion, storage, processing, transformation, enrichment, presentation
• Eliciting requirements for data solutions
• Selecting and customizing analytical architectures
• Designing and building data pipelines
• Building data strategies
• Coaching clients and internal teams on latest architectures and methodologies

Good to Have

• Post Graduate degrees
• Familiarity with DataOps

Perks & 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

Description

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We Are Hiring!

Integrant is looking for game changers to join our team as "Data Architect" to join us as part time, 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

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• 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

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• 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