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Automation Architect

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Fircroft
Full Time position
Listed on 2026-01-06
Job specializations:
  • Engineering
    Data Engineer
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Job Overview:
We are seeking a talented Automation Solutions Engineer to define automation scope, design comprehensive automation solutions, and drive end-to-end technical automation initiatives. The ideal candidate will collaborate with core project team members, ensuring high-quality automation that meets business needs.

Key Responsibilities:

Automation Design:

  • Define the scope of automation projects and design solutions that drive end-to-end technical automation.
  • Develop architecture to integrate customer devices with automation solutions.
  • Work with core project team members to build business cases, design automation processes, and assign tasks to automation engineers.
  • Monitor automation engineers' tasks and the effectiveness of implemented solutions.

Quality Assurance:

  • Ensure the quality of completed automations and support the deployment of these solutions.

Documentation:

  • Write and review technical documents and documentation related to automation projects.

Support and Coordination:

  • Collaborate with business and process owners to understand business challenges, working with automation engineers to implement scalable solutions.
  • Support project managers in driving technical automation solutions, timelines, and level of effort estimations.
Technical

Skills:

  • Proficiency in Python for Automation and AI, including end-to-end automation scripts, data pipelines, and API integrations.
  • Experience in process automation for automated data ingestion, scheduled pipelines, and SQL data processing.
  • Knowledge of API automation
    , including API development, REST API consumption, and integration with cloud services.
  • Background in data engineering
    , including ETL automation, Python + SQL pipelines, and high-volume data handling.
  • Experience with database automation
    , focusing on big data operations, bulk inserts, and performance tuning.
  • Proficiency in SQL, PL/SQL, SQL Server
    , and SSIS
    .
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