The Role
Design and maintain enterprise data architecture, data models, and governance. Build scalable cloud and hybrid data platforms and ETL pipelines (SSIS, Snowflake, OCI). Ensure HA/DR, observability, performance tuning, and security. Collaborate with stakeholders, mentor teams, and evaluate new data technologies.
Summary Generated by Built In
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 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 be passionate about building scalable and reliable data platforms using modern technologies such as SQL Server, SSIS, IBM AppConnect API, OCI Cloud services, Micro services Architecture, Erwin, and more.
We are looking for an experienced and strategic Data Architect to join our team onsite in the Kingdom region. This role is ideal for someone with experience in enterprise data architecture, data modeling, platform engineering, and modern data ecosystems. 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:
Experience: 7+ Years
Location: Riyadh - Onsite
Employment Type: Full-Time
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. The ideal candidate will be passionate about building scalable and reliable data platforms using modern technologies such as SQL Server, SSIS, IBM AppConnect API, OCI Cloud services, Micro services Architecture, Erwin, and more.
We are looking for an experienced and strategic Data Architect to join our team onsite in the Kingdom region. This role is ideal for someone with experience in enterprise data architecture, data modeling, platform engineering, and modern data ecosystems. 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 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.
- 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.
- 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.
- 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.
- 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.
- 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 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.
- 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.
Skills Required
- Bachelor's or Master's in Computer Science, Information Systems, or related field
- 7+ years of experience in data engineering, data platform, or analytics engineering roles
- Proficient in SQL Server
- Experience with Microsoft SSIS and Oracle SSIS
- Experience with IBM AppConnect APIs and IBM MQ
- Experience with Snowflake and cloud-native data services (OCI/Oracle cloud)
- Experience with Erwin (data modeling) and implementing conceptual, logical, and physical data models
- Strong SQL, Python, and shell scripting capabilities
- Experience building and tuning data transformation pipelines and orchestration (scalability, logging, alerting)
- Familiarity with data governance frameworks (e.g., DAMA-DMBOK), security, and data privacy regulations
- Knowledge of CI/CD practices and Git-based version control
- Experience setting up monitoring/observability (Prometheus, Grafana, or native cloud monitoring)
- Experience designing HA, DR, replication, failover, backup and recovery strategies for databases
- Excellent communication, collaboration, leadership, and mentoring skills
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
-
Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
-
Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What's It Like to Work at Datamatics Technologies?
Datamatics Technologies Culture & Values
Datamatics Technologies Career Growth & Development
What's the Work-Life Balance Like at Datamatics Technologies?
Datamatics Technologies Leadership & Management
Datamatics Technologies Company Growth, Stability & Outlook
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
