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Solution Architect

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Datamatics Global Services Ltd
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 280000 - 480000 SAR Yearly SAR 280000.00 480000.00 YEAR
Job Description & How to Apply Below
Position: Solution Architect at Datamatics Global Services Ltd

Job Title:

Solution Architect

Experience:

10+ Years (Mandatory)

Location:

Riyadh - Onsite

Employment Type:

Full-Time

Overview:
We are seeking an experienced and strategic Solution Architect to join our team onsite in the Kingdom region. The ideal candidate will possess 10+ years of experience in Enterprise Solution Architecture, Data Platform Engineering, System Integration, and modern Data Ecosystems across on-premises, cloud, and hybrid environments. The Solution Architect will be responsible for designing, governing, and optimizing enterprise-wide technology solutions that align with business objectives, architectural standards, and industry best practices.

This role requires close collaboration with business stakeholders, product owners, and engineering teams to translate business requirements into scalable, secure, and high-performance solution architectures. The successful candidate will have deep expertise in Microsoft SQL Server, SSIS, Oracle Database, OCI Cloud, IBM App Connect Enterprise (ACE), microservices architecture, enterprise integration, data modeling, and Enterprise Architecture practices, with hands‑on experience using architecture modeling tools such as erwin Data Modeler/Evolve, Bizzdesign, Archi Mate, and related Enterprise Architecture platforms.

This Full time on site position offers great opportunities for career growth.

Responsibilities:

Data Modeling:
  • Design, Develop and maintain conceptual, logical, and physical data models for the data blueprints.
  • Implement and enforce data modeling standards to ensure consistency and accuracy across the data stores and platforms.
  • Design Master & Reference Data Management strategies.
  • Implement Metadata Management and end-to-end Data Lineage.
  • Act as Solution Architecture Review & Design Authority.
  • Design Cloud & Hybrid Data Architecture and migration strategies.
Data Platform Architecture & Engineering:
  • Design and implement robust, scalable, and secure data platform solutions using Snowflake, SQL Server, and cloud-native services.
  • Collaborate with stakeholders to translate business and analytics needs into efficient data platform architecture.
  • Define and implement data storage, access, and lifecycle management strategies across structured and semi-structured data.
Data Pipeline Development & Orchestration:

Review the existing enterprise data ecosystem to identify architectural gaps, technical debt, scalability limitations, and opportunities for modernization and continuous improvement.

  • Architect end‑to‑end enterprise solutions by collaborating with business and technical stakeholders to translate business requirements into solution blueprints, feasibility assessments, High-Level Designs (HLDs), and Low-Level Designs (LLDs).
  • Develop and maintain enterprise architecture artifacts using industry-standard tools such as Bizzdesign, Archi Mate, erwin Data Modeler/Evolve*, and other Enterprise Architecture modeling platforms.
  • Lead architecture governance by conducting solution, implementation, and deployment reviews to ensure alignment with enterprise architecture standards, scalability, security, reliability, and operational excellence.
  • Serve as the subject matter expert for Microsoft SSIS, designing and developing enterprise‑grade ETL solutions utilizing metadata‑driven frameworks, CDC/SCD implementations, complex transformations, Script Components, parallel processing, enterprise logging, deployment automation, and performance optimization.
  • Define enterprise performance standards, Service Level Objectives (SLOs), and Key Performance Indicators (KPIs) for data platforms, ETL pipelines, databases, APIs, and integration services.
  • Lead performance engineering and capacity planning initiatives by establishing performance baselines, conducting workload analysis, identifying bottlenecks, and implementing optimization strategies across ETL pipelines, SQL workloads, cloud services, APIs, and databases.
  • Optimize platform performance through query tuning, indexing, partitioning, caching, resource governance, and pipeline optimization while ensuring scalability, reliability, cost efficiency, and optimal resource utilization.
  • Establish performance testing methodologies and…
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