Data Architect📣 Job Ad

About the Role

Datamatics Technologies is seeking an experienced and strategic Data Architect to join our team onsite in Riyadh, Saudi Arabia. This full-time role requires a professional with 7+ years of hands-on experience in data platform architecture, pipeline development, and infrastructure automation across both cloud and on-premise environments. The Data Architect will be responsible for defining and maintaining enterprise data architecture, establishing data standards and governance, and designing scalable, secure, and high-performance data platforms.

Key Responsibilities

The Data Architect will play a central role in shaping the organization's data landscape, ensuring robust data management, platform performance, and adherence to security and compliance standards. Responsibilities span data modeling, platform engineering, pipeline development, and strategic oversight of data infrastructure.

Data Architecture and Engineering

• Design, develop, and maintain conceptual, logical, and physical data models for data blueprints, enforcing consistency and accuracy.
• Design Master & Reference Data Management strategies and implement Metadata Management and end-to-end Data Lineage.
• Act as Solution Architecture Review & Design Authority, including designing Cloud & Hybrid Data Architecture and migration strategies.
• Design and implement robust, scalable, and secure data platform solutions using technologies such as 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 for structured and semi-structured data.
• Design and implement enterprise-grade data pipelines utilizing Microsoft SSIS and proprietary integration platforms, ensuring scalability, reliability, and operational excellence.
• Orchestrate and monitor data workflows, ensuring data reliability and availability, and implementing fault-tolerant pipelines with robust logging and alerting.
• Tune performance of data workflows, SQL queries, and cloud services, leveraging indexing, partitioning, caching, and pipeline optimizations.
• Define enterprise performance benchmarks, SLOs, and KPIs for data platforms, databases, and integration services, leading performance assessments and capacity planning.

Data Governance and Operational Resilience

• Design, implement, and govern High Availability (HA) and Disaster Recovery (DR) architectures to ensure business continuity and platform resilience.
• Define enterprise standards for database replication, clustering, failover mechanisms, backup, and recovery strategies across cloud and on-premises environments.
• Evaluate and optimize SQL Server Always On Availability Groups, replication technologies, and cloud-native HA solutions to meet RTO and RPO.
• Establish resilience testing frameworks by conducting periodic failover, disaster recovery, and business continuity exercises.
• Implement role-based access control, encryption, and data masking in compliance with data governance standards.
• Partner with security teams to ensure platform alignment with enterprise compliance and audit requirements.
• Define and enforce Data Governance aligned with DAMA-DMBOK, NDMO, SDAIA, and PDPL.
• Set up and maintain real-time monitoring using tools such as Prometheus, Grafana, and native cloud monitoring tools to provide transparency into data jobs and platform health.

Collaboration and Strategic Impact

• Partner with data scientists, analysts, and business stakeholders to support self-service analytics and data product development.
• Document architecture, data flow, and technical decisions using industry best practices.
• Continuously monitor and evaluate emerging technologies, trends, and best practices within the data and cloud ecosystem.
• Evaluate new tools and recommend integration to enhance platform scalability, performance, and cost-effectiveness.

Required Experience and Technical Skills

• Minimum of 7+ years of hands-on experience in data platform architecture, pipeline development, and infrastructure automation.
• Proficiency with modern data technologies including SQL Server, SSIS, IBM AppConnect API, OCI Cloud services, Microservices Architecture, Erwin, and Snowflake.
• Experience with Microsoft technologies and Oracle cloud-native services.
• Demonstrated ability to build scalable and reliable data platforms.
• Familiarity with data governance frameworks such as DAMA-DMBOK, NDMO, SDAIA, and PDPL.
• Experience with monitoring tools like Prometheus and Grafana.