Data Architect
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Key skills for this role
About the Role
Datamatics Technologies is seeking an experienced Data Architect for an onsite role in Riyadh. The architect will design and implement scalable data platforms, data models, and pipelines using SQL Server, SSIS, Oracle Cloud, and microservices.
Key Skills for This Role
Responsibilities
- 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 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
- Design and implement robust, scalable, and secure data platform solutions using Snowflake, SQL Server, and cloud native services
- Design and implement enterprise grade data pipelines utilizing Microsoft SSIS and proprietary integration platforms
- Orchestrate and monitor data workflows, ensuring data reliability and availability
- Implement role based access control, encryption, and data masking in compliance with data governance standards
Requirements
- Bachelor's or Master's in Computer Science, Information Systems, or a related field
- 7+ years of experience in data engineering, data platform, or analytics engineering roles
- Proficient in SQL Server, SSIS, Oracle SSIS, IBM AppConnect APIs, IBM MQ and Elastic Search
- Strong SQL, Python, and shell scripting capabilities
- Experience building data transformation pipelines using modern technologies and platforms
- Familiar with data governance frameworks (e.g., DAMA DMBOK), security, and data privacy regulations
- Knowledge of CI/CD practices and Git based version control
- Excellent communication and collaboration skills
- Comfortable leading initiatives and mentoring colleagues and team members
Full Job Posting
Overview
- We are looking for an experienced and highly capable Data Architect to join our team onsite in the Kingdom region.
- This role is ideal for someone with 7+ years of hands on experience in data platform architecture, pipeline development, and infrastructure automation across cloud and on premise environments.
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.
Responsibilities 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.
Responsibilities Data Pipeline Development & Orchestration
- Design and implement enterprise grade data pipelines utilizing Microsoft SSIS and proprietary integration platforms, ensuring scalability, reliability, maintainability, and operational excellence.
- Orchestrate and monitor data workflows, ensuring data reliability and availability.
- Implement fault tolerant, modular pipelines with robust logging and alerting mechanisms.
- Tune performance of data workflows, SQL queries, and cloud services.
- Leverage indexing, partitioning, caching, and pipeline optimizations to ensure platform efficiency.
- Define enterprise performance benchmarks, service level objectives (SLOs), and key performance indicators (KPIs) for data platforms, databases, and integration services.
- Lead performance assessments and capacity planning initiatives to ensure scalability, reliability, and optimal resource utilization.
- Establish performance testing methodologies for ETL pipelines, APIs, databases, and analytical workloads using industry best practices.
- Analyze workload patterns and implement optimization strategies including indexing, partitioning, query tuning, caching, and resource governance.
- Develop performance baselines and proactively identify bottlenecks through continuous monitoring, trend analysis, and predictive capacity planning.
- Collaborate with engineering teams to optimize platform performance while balancing scalability, operational costs, and business requirements.
Responsibilities High Availability, Disaster Recovery & 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 Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO).
- Establish resilience testing frameworks by conducting periodic failover, disaster recovery, and business continuity exercises to validate platform readiness.
- Collaborate with infrastructure and operations teams to continuously improve system availability, reliability, and fault tolerance.
Responsibilities Governance, Security & Compliance
- Implement role based access control, encryption, and data masking in compliance with data governance standards.
- Partner with security teams to ensure the platform aligns with enterprise compliance and audit requirements.
- Define and enforce Data Governance aligned with DAMA DMBOK, NDMO, SDAIA and PDPL.
Responsibilities Platform Monitoring & Observability
- Set up and maintain real time monitoring using tools such as Prometheus, Grafana, and native cloud monitoring tools.
- Provide transparency into data jobs, pipeline statuses, and platform health.
Responsibilities Collaboration & Enablement
- 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.
Responsibilities Technology Innovation & Evaluation
- 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.
Qualifications
- Bachelor's or Master's in Computer Science, Information Systems, or a related field.
- 7+ years of experience in data engineering, data platform, or analytics engineering roles.
- Proficient in SQL Server, SSIS, Oracle SSIS, IBM AppConnect APIs, IBM MQ and Elastic Search.
- Strong SQL, Python, and shell scripting capabilities.
- Experience building data transformation pipelines using modern technologies and platforms.
- Familiar with data governance frameworks (e.g., DAMA DMBOK), security, and data privacy regulations.
- Knowledge of CI/CD practices and Git based version control.
- Excellent communication and collaboration skills.
- Comfortable leading initiatives and mentoring colleagues and team members.
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