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Resumo da oferta
A leading data solutions company in Riyadh is seeking a data architect to design and optimize data models, especially using Teradata. The ideal candidate will have strong telecommunications knowledge, experience in SQL and Oracle, and excellent communication skills. This role requires collaboration with various business units and a focus on delivering high-quality data solutions.
Qualificações
- Advanced knowledge of Teradata architecture, SQL, and optimization.
- Strong experience with PL/SQL and performance tuning in Oracle.
- Expert-level SQL programming across various platforms.
- Knowledge of data warehouse concepts and dimensional modeling.
- Strong understanding of telecom business processes and data domains.
Responsabilidades
- Design conceptual, logical, and physical data models for data warehouses.
- Conduct data profiling to identify quality issues and anomalies.
- Collaborate with business units to understand requirements.
- Perform data validation and create technical documentation.
- Design and optimize database objects with Teradata-specific optimizations.
Conhecimentos
Teradata
Oracle
SQL
Data modeling tools
ETL tools exposure
Telecommunications domain knowledge
Agile/Scrum
Strong analytical skills
Excellent communication skills
Formação académica
Bachelor's degree in Computer Science
Ferramentas
Erwin
PowerDesigner
AWS Redshift
Azure Synapse
Snowflake
Descrição da oferta de emprego
Core Responsibilities
- Data Modeling & Architecture
- Design conceptual, logical, and physical data models for enterprise data warehouses
- Specialize in Teradata modeling including partitioning, indexing (PI, SI, NUSI), join indexes, and statistics optimization
- Transform source data into target EDW models; design fact/dimension tables and implement SCD Types 1, 2, 3
- Data Profiling & Analysis
- Conduct data profiling on source systems to identify quality issues, patterns, and anomalies
- Analyze source data structures, relationships, and dependencies; perform data lineage and impact analysis
- Business Requirements & Collaboration
- Understand and analyze business requirements from business units, analysts, and tribes
- Collaborate with business tribes (product, marketing, finance, operations), development teams, ETL developers, and DBAs
- Conduct discussions with source system owners and subject matter experts
- Data Validation & Documentation
- Perform source-to-target data validation and reconciliation; execute data quality checks
- Create mapping documents, High-Level Design (HLD), Low-Level Design (LLD), and technical specifications
- Maintain data dictionary, metadata repository, and operational documentation
- Development & Implementation
- Design and optimize database objects; implement Teradata-specific optimizations (PI/SI selection, join indexes, statistics, workload management)
- Write complex SQL for data analysis and validation; support ETL teams with technical guidance
Required Skills
Technical Expertise
- Teradata (Required): Advanced knowledge of architecture, SQL, utilities (BTEQ, FastLoad, MultiLoad, TPT), optimization, partitioning, and indexing
- Oracle: Strong experience with PL/SQL and performance tuning
- SQL: Expert-level programming across multiple platforms (Teradata, Oracle, SQL Server)
- Data modeling tools (Erwin, PowerDesigner); ETL tools exposure (Ab Initio, Informatica)
- Data warehouse concepts: Star/snowflake schema, dimensional modeling (Kimball), normalized modeling (Inmon)
Domain Knowledge - Telecommunications
- Strong understanding of telecom business processes and data domains
- OSS: Network inventory, provisioning, fault/performance management
- BSS: Billing, customer/order management, revenue assurance, product catalog
- Telecom KPIs: ARPU, churn rate, network utilization, service quality
Professional Skills
- Full SDLC experience (Agile/Scrum, Waterfall methodologies)
- Product-oriented mindset with strategic thinking and business value focus
- Strong analytical, problem-solving skills with attention to detail
- Excellent communication skills; ability to explain technical concepts to non-technical stakeholders
- Cross-functional collaboration and stakeholder management
Preferred Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- Teradata certification (Teradata Certified Professional)
- Cloud data platforms experience (AWS Redshift, Azure Synapse, Snowflake)
- Big data technologies (Hadoop, Spark); MDM and data governance knowledge
Key Deliverables
- Comprehensive data models with Teradata-optimized physical designs
- Source-to-target mapping documents, HLD/LLD documents, and technical specifications
- Data profiling reports, quality assessments, and performance tuning recommendations
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.