Solution Architect📣 إعلان

منذ يومان

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About the Role

Datamatics Technologies is seeking an experienced and strategic Solution Architect to join our team full-time in Riyadh, Saudi Arabia. This role requires 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.

Core Architectural Responsibilities

The successful candidate will collaborate closely with business stakeholders, product owners, and engineering teams to translate business requirements into scalable, secure, and high-performance solution architectures. Key responsibilities include:

Acting as a Solution Architecture Review & Design Authority.
Architecting end-to-end enterprise solutions by translating business requirements into solution blueprints, feasibility assessments, High-Level Designs (HLDs), and Low-Level Designs (LLDs).
Leading architecture governance through solution, implementation, and deployment reviews to ensure alignment with enterprise standards, scalability, security, reliability, and operational excellence.
Developing and maintaining enterprise architecture artifacts using industry-standard tools such as Bizzdesign, ArchiMate, erwin Data Modeler/Evolve, and other Enterprise Architecture modeling platforms.
Reviewing existing enterprise data ecosystems to identify architectural gaps, technical debt, scalability limitations, and opportunities for modernization and continuous improvement.
Partnering with data scientists, analysts, and business stakeholders to support self-service analytics and data product development.
Documenting architecture, data flow, and technical decisions using industry best practices.

Data Platform and Pipeline Engineering

This role involves comprehensive engagement with data platforms and pipelines, including design, development, and optimization:

Designing, developing, and maintaining conceptual, logical, and physical data models for data blueprints.
Implementing and enforcing data modeling standards, and designing Master & Reference Data Management strategies.
Implementing Metadata Management and end-to-end Data Lineage.
Designing Cloud & Hybrid Data Architecture and migration strategies.
Designing and implementing robust, scalable, and secure data platform solutions using Snowflake, SQL Server, and cloud-native services.
Defining and implementing data storage, access, and lifecycle management strategies across structured and semi-structured data.
Serving as the subject matter expert for Microsoft SSIS, designing and developing enterprise-grade ETL solutions.
Defining enterprise performance standards, Service Level Objectives (SLOs), and Key Performance Indicators (KPIs) for data platforms, ETL pipelines, databases, APIs, and integration services.
Leading performance engineering and capacity planning initiatives, including query tuning, indexing, partitioning, caching, and resource governance.

Platform Resilience, Security, and Innovation

The Solution Architect will ensure the resilience, security, and continuous evolution of technology platforms:

Designing, implementing, and governing High Availability (HA) and Disaster Recovery (DR) architectures to ensure business continuity and platform resilience.
Defining enterprise standards for database replication, clustering, failover mechanisms, backup, and recovery strategies across cloud and on-premises environments.
Establishing resilience testing frameworks by conducting periodic failover, disaster recovery, and business continuity exercises.
Implementing role-based access control, encryption, and data masking in compliance with data governance standards.
Defining and enforcing Data Governance aligned with DAMA-DMBOK, NDMO, SDAIA, and PDPL.
Setting up and maintaining real-time monitoring using tools such as Prometheus, Grafana, and native cloud monitoring tools.
Continuously monitoring and evaluating emerging technologies, trends, and best practices within the data and cloud ecosystem.
Evaluating new tools and recommending integration to enhance platform scalability, performance, and cost-effectiveness.

Qualifications and Experience

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
10+ years of experience in data engineering, data platform, or analytics engineering roles.
Proficiency in Microsoft SQL Server, SSIS, Oracle Database, OCI Cloud, IBM App Connect Enterprise (ACE), microservices architecture, enterprise integration, and data modeling.
Hands-on experience using architecture modeling tools such as erwin Data Modeler/Evolve, Bizzdesign, ArchiMate, and related Enterprise Architecture platforms.
Strong SQL, Python, and shell scripting capabilities.
Experience building data transformation pipelines using modern technologies and platforms.
Familiarity with data governance frameworks (*, DAMA-DMBOK), security, and data privacy regulations.
Knowledge of CI/CD practices and Git-based version control.