Location: Onsite - Riyadh
Must Have: Experience over CVM implementation for Telco
Experience: 8–12+ Years
Industry Preference: Telecommunications
We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.
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Lead end-to-end data architecture design for enterprise data platforms and analytics solutions
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Design and implement scalable data warehouses, data lakes, and ETL pipelines
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Drive data modeling (logical & physical) and semantic layer design
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Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark
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Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps
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Ensure data quality, governance, and compliance across data assets
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Build and optimize high-performance data pipelines and reporting systems
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Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView
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Collaborate with business stakeholders to translate requirements into technical solutions
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Lead and mentor cross-functional teams including data engineers, analysts, and BI developers
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Drive automation in reporting and data operations
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Manage performance tuning and optimization of databases and queries
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Strong expertise in:
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Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)
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ETL/ELT design and development
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SQL, Python, Shell Scripting
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Hands-on experience with:
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Data modeling tools (Erwin or equivalent)
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Data warehouse architecture
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Semantic layer design
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Database experience:
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Teradata, Oracle, MySQL, PostgreSQL
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BI & Reporting:
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Tableau, MicroStrategy, QlikView
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Familiarity with:
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GitHub, C#, DataOps frameworks
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Data Architecture & Solution Design
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Data Integration & Pipeline Development
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Reporting & Dashboard Automation
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Performance Optimization
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Data Governance & Quality Assurance
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Business & Data Analysis
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Proven experience leading large-scale data programs
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Strong stakeholder management and communication skills
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Ability to manage cross-functional and distributed teams
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Experience in project delivery and technical governance
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Bachelor’s degree in Information Technology / Computer Science / Engineering or related field
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Telecom domain experience (highly preferred)
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Experience in large transformation programs (e.g., system revamps, migrations)
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Exposure to product ownership or project management roles
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