Data Architect / Part-Time
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.).
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
Skills
As published by workable · 27 questions · 1 written answer
Basics
First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter, What is your nationality?, Are you comfortable working in hybrid model?, Are you comfortable working with US timing? (12:00 PM to 8:00 PM), What is your Military status?, Have you ever been employed by Integrant before? If yes, when?, Do you have any friends/relatives working at Integrant? If yes, please specify their names., What is your notice period?, Do you have limitations working on certain industries? If yes, please specify., Are you willing to provide Clearance/Resignation letter (Form 6), Linkedin Profile Link:
Short answers (17)
- How many years of total professional experience do you have?
- How many years of experience do you have working specifically as a Data Engineer?
- How many years of experience do you have in Data Architecture?
- If yes, how many years of experience do you have in Data Warehousing?
- Approximately how many DWH projects have you worked on?
- How many years of experience do you have using Azure?
- How many years of experience do you have using AW?
- How many years of experience do you have using GCP?
- If yes, which Microsoft data platform(s) have you used?
- How many years of experience do you have working with Data Lake and Data Lakehouse architecture?
- Which large-scale data processing platforms have you worked with?
- Where are your clients based?
- Do you have experience using AI-powered coding tools? If yes, which tools have you used?
- Do you have experience with RAG data ingestion? If yes, which technologies have you used (e.g., VectorDBs, embedding types)?
- Do you have experience working with agentic frameworks? If yes, which tools or platforms have you used (e.g., LangGraph, AutoGen, CrewAI, Llamaindex, n8n)?
- Do you have experience using agent cloud services? If yes, which platforms have you worked with?
- Do you have experience working with agent protocols? If yes, which ones have you used?
Pick from a list (9)
- Do you have experience working on Data Warehouse (DWH) projects?
- What was the average duration of the DWH projects you worked on?
- Do you have experience with Dimension Modeling?
- Do you have experience working with any cloud platforms such as Azure, AWS, or GCP?
- Do you have experience working with Microsoft on-premises data platforms?
- Do you have hands-on experience working with SQL?
- Do you have experience working with Data Governance practices or tools?
- Do you have experience working with ETL and/or ELT concepts?
- Have you directly engaged or interacted with clients in any of your previous roles?
Written answers (1)
- Which business domains or industries have you worked on in your previous / current projects?