Data Architect
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Key skills for this role
About the Role
Job Title: Data Architect Experience: 7+ Years Location: Riyadh - Onsite Employment Type: Full-Time Overview: We are looking for an experienced and highly capable Data Architect.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain conceptual, logical, and physical data models
- 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
- Define enterprise performance benchmarks, SLOs, and KPIs for data platforms
- Design and govern High Availability and Disaster Recovery architectures
- Implement role based access control, encryption, and data masking in compliance with data governance standards
- Set up and maintain real time monitoring using Prometheus, Grafana, and native cloud monitoring tools
- Partner with data scientists, analysts, and business stakeholders to support self service analytics
- Continuously monitor and evaluate emerging technologies and best practices within the data and cloud ecosystem
Requirements
- 7+ years of experience in data engineering, data platform, or analytics engineering roles
- Bachelor's or Master's in Computer Science, Information Systems, or related field
- 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
- 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
Full Job Posting
Overview
- Job Title: Data Architect Experience: 7+ Years Location: Riyadh Onsite Employment Type: Full Time
- 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.
- The ideal candidate will define and maintain enterprise data architecture, establish data standards and governance, and design scalable, secure, and high performance data platforms using SQL Server, Microsoft technologies, Oracle cloud native services, App Connect APIs, and microservices.
Responsibilities
- Data Modeling: Design, develop and maintain conceptual, logical, and physical data models for the data blueprints. Implement and enforce data modeling standards. Design Master & Reference Data Management strategies. Implement Metadata Management and end to end Data Lineage. Act as Solution Architect
- 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 im
- Data Pipeline Development & Orchestration: Design and implement enterprise grade data pipelines utilizing Microsoft SSIS and proprietary integration platforms. Orchestrate and monitor data workflows. Implement fault tolerant, modular pipelines with robust logging and alerting mechanisms. Tune perfor
- Define enterprise performance benchmarks, SLOs, and KPIs for data platforms, databases, and integration services. Lead performance assessments and capacity planning initiatives. Establish performance testing methodologies. Analyze workload patterns and implement optimization strategies.
- High Availability, Disaster Recovery & Resilience: Design, implement, and govern HA and DR architectures. Define enterprise standards for database replication, clustering, failover mechanisms, backup, and recovery strategies. Evaluate and optimize SQL Server Always On Availability Groups and cloud n
- Governance, Security & Compliance: Implement role based access control, encryption, and data masking in compliance with data governance standards. Partner with security teams to ensure alignment with enterprise compliance and audit requirements. Define and enforce Data Governance aligned with DAMA D
- 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.
- 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.
- 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.
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