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About the Role

We are seeking an experienced and strategic Data Architect to join our team onsite in the Kingdom region. This role is crucial for defining and maintaining enterprise data architecture, establishing data standards and governance, and designing scalable, secure, and high-performance data platforms.

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models.
• Implement and enforce data modeling standards.
• 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.
• Collaborate with stakeholders to translate business and analytics needs into efficient data platform architecture.
• Define and implement data storage, access, and lifecycle management strategies.
• 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 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.
• Define enterprise performance benchmarks, service level objectives (SLOs), and key performance indicators (KPIs).
• Lead performance assessments and capacity planning initiatives.
• Establish performance testing methodologies for ETL pipelines, APIs, databases, and analytical workloads.
• Analyze workload patterns and implement optimization strategies.
• Develop performance baselines and proactively identify bottlenecks.
• Collaborate with engineering teams to optimize platform performance.
• Design, implement, and govern High Availability (HA) and Disaster Recovery (DR) architectures.
• Define enterprise standards for database replication, clustering, failover mechanisms, backup, and recovery strategies.
• Evaluate and optimize SQL Server Always On Availability Groups, replication technologies, and cloud-native HA solutions.
• Establish resilience testing frameworks by conducting periodic failover, disaster recovery, and business continuity exercises.
• Collaborate with infrastructure and operations teams to continuously improve system availability, reliability, and fault tolerance.
• 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.
• Provide transparency into data jobs, pipeline statuses, and platform health.
• Partner with data scientists, analysts, and business stakeholders to support self-service analytics and data product development.
• Document architecture, data flow, and technical decisions.
• Continuously monitor and evaluate emerging technologies, trends, and best practices.
• Evaluate new tools and recommend integration to enhance platform scalability, performance, and cost-effectiveness.

Requirements

• 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.

Skills

• Data Platform Architecture
• Pipeline Development
• Infrastructure Automation
• SQL Server
• SSIS
• IBM AppConnect API
• OCI Cloud services
• Microservices Architecture
• Erwin
• Enterprise Data Architecture
• Data Modeling
• Platform Engineering
• Modern Data Ecosystems
• Data Standards
• Data Governance
• Data Security
• High-Performance Data Platforms
• Oracle Cloud-Native Services
• App Connect APIs
• Snowflake
• Metadata Management
• Data Lineage
• Master Data Management
• Reference Data Management
• Cloud & Hybrid Data Architecture
• Data Migration Strategies
• Data Storage
• Data Access
• Data Lifecycle Management
• Structured Data
• Semi-structured Data
• Microsoft SSIS
• Integration Platforms
• Data Workflows
• Data Reliability
• Data Availability
• Fault-Tolerant Pipelines
• Modular Pipelines
• Logging
• Alerting
• Performance Tuning
• SQL Query Optimization
• Cloud Services Optimization
• Indexing
• Partitioning
• Caching
• Pipeline Optimization
• Performance Benchmarks
• Service Level Objectives (SLOs)
• Key Performance Indicators (KPIs)
• Performance Assessments
• Capacity Planning
• Resource Utilization
• Performance Testing
• ETL Pipelines
• APIs
• Databases
• Analytical Workloads
• Workload Patterns
• Optimization Strategies
• Continuous Monitoring
• Trend Analysis
• Predictive Capacity Planning
• Engineering Teams Collaboration
• Scalability
• Operational Costs
• Business Requirements
• High Availability (HA)
• Disaster Recovery (DR)
• Business Continuity
• Platform Resilience
• Database Replication
• Clustering
• Failover Mechanisms
• Backup Strategies
• Recovery Strategies
• SQL Server Always On Availability Groups
• Cloud-Native HA Solutions
• Recovery Time Objectives (RTO)
• Recovery Point Objectives (RPO)
• Resilience Testing
• Failover Exercises
• Disaster Recovery Exercises
• Business Continuity Exercises
• Infrastructure Collaboration
• Operations Teams Collaboration
• System Availability
• System Reliability
• Fault Tolerance
• Role-Based Access Control
• Encryption
• Data Masking
• Data Governance Standards
• Security Teams Collaboration
• Enterprise Compliance
• Audit Requirements
• DAMA-DMBOK
• NDMO
• SDAIA
• PDPL
• Platform Monitoring
• Observability
• Prometheus
• Grafana
• Native Cloud Monitoring Tools
• Data Jobs Transparency
• Pipeline Statuses Transparency
• Platform Health Transparency
• Data Scientists Collaboration
• Analysts Collaboration
• Business Stakeholders Collaboration
• Self-Service Analytics
• Data Product Development
• Architecture Documentation
• Data Flow Documentation
• Technical Decisions Documentation
• Emerging Technologies Monitoring
• Technology Trends Monitoring
• Best Practices Monitoring
• Data Ecosystems
• Tool Evaluation
• Tool Integration
• Cost-Effectiveness
• SQL
• Python
• Shell Scripting
• CI/CD Practices
• Git-based Version Control
• Communication Skills
• Collaboration Skills
• Leadership
• Mentoring

Location

• Riyadh

Work Type

• Onsite
• Full-Time

Experience Level

• 7+ Years

Education Level

• Bachelor’s or Master’s in Computer Science, Information Systems, or a related field.