Teradata Solution Architect📣 إعلان

About the Role

Systems Arabia is seeking a Teradata Solution Architect to join our team in Riyadh, Saudi Arabia. This full-time position involves owning design decisions, assessing existing data landscapes, and leading the modernization of large-scale Teradata data warehouse environments. The ideal candidate will conduct current-state analysis, define target-state architecture, and produce technical implementation roadmaps, presenting and defending these decisions to executives, business teams, and architecture boards.

Key Responsibilities

• Lead the end-to-end architecture, assessment, modernization, migration, and transformation of large-scale Teradata data warehouse environments.
• Assess current-state data platforms, workloads, integrations, performance, capacity, and technology gaps, defining target-state architecture and implementation roadmaps.
• Design scalable enterprise data architectures integrating Teradata with Hadoop/Cloudera, on-premises object storage, cloud lakehouse platforms, and MPP databases.
• Define workload placement, capacity planning, cost optimization, archival, offloading, and hybrid/cloud migration strategies.
• Architect Teradata Vantage and legacy platforms, including IntelliFlex and VantageCloud, with appropriate migration and upgrade paths.
• Design and optimize Teradata physical models covering PI, NUPI, NoPI, PPI, multi-level partitioning, join/hash/sparse indexes, compression, and statistics.
• Diagnose and resolve performance issues involving skew, spool, redistribution, duplication, and workload contention using DBQL, TASM, and Workload Designer.
• Architect high-volume data pipelines integrating heterogeneous telecom source systems using TPT, BTEQ, Informatica, AbInitio, Kafka/CDC, and APIs.
• Define load, error-handling, restart/recovery, reconciliation, audit, and SLA-driven batch processing strategies.
• Design interoperability solutions using QueryGrid, Native Object Store, Data Mover, Viewpoint, and data virtualization technologies.
• Develop telecom data architectures covering billing, mediation, interconnect, CRM, DPI, network performance, customer experience, CDR processing, churn, ARPU, and network KPI analytics.
• Apply the Communications Logical Data Model (CLDM) and industry analytical schemas across enterprise data platforms.
• Define data governance, metadata, lineage, business glossary, stewardship, and impact-analysis operating models.
• Architect automated end-to-end lineage across ETL, data pipelines, transformations, and consumption layers using tools such as Informatica EDC/Axon/CDGC, Collibra, and Alation.
• Design audit, reconciliation, Row-Level Security, Secure Zones, Access Logging, DBQL, and PDCR capabilities while considering performance and SLA impact.
• Evaluate and architect cloud and lakehouse modernization solutions using object storage such as MinIO/Ozone and open table formats including Iceberg, Delta Lake, and Hudi.
• Architect governed semantic and consumption layers supporting Power BI, Qlik, MicroStrategy, and other enterprise BI platforms.
• Lead legacy platform decommissioning, migration, consolidation, and modernization initiatives.
• Evaluate data mesh and data product operating models and identify appropriate enterprise use cases.
• Present and defend architecture decisions, technical roadmaps, risks, costs, and trade-offs to C-level stakeholders, business teams, and architecture boards.
• Establish architecture standards, design principles, technology selection criteria, and governance frameworks.
• Provide technical leadership and mentoring to data architects, engineers, and technical teams.

Experience and Qualifications

• 12+ years of experience in enterprise data warehousing, data architecture, or platform architecture.
• 8+ years of hands-on experience with Teradata data warehousing and modern data/lakehouse platforms.
• Proven experience delivering large-scale data warehouse or analytics solutions within the telecommunications sector.
• Experience with at least two national/operator-scale telecom engagements involving substantial subscriber volumes.
• Strong experience architecting data pipelines across multiple heterogeneous source systems.
• Proven experience in data estate migration, modernization, consolidation, or decommissioning.
• Experience with capacity planning, workload placement, cost optimization, archival, offloading, and cloud migration.
• Excellent communication, presentation, stakeholder management, and executive-level decision-making skills.

Technical Expertise

• Hands-on experience with multi-engine data estates involving Teradata, Hadoop/Cloudera, MinIO/Dell ECS or similar object storage, cloud lakehouse, MPP, and/or in-memory platforms.
• Strong expertise in Teradata Vantage, IntelliFlex, and/or VantageCloud architecture, migration, and upgrade strategies.
• Strong knowledge of Teradata physical database design, including PI/NUPI/NoPI, PPI, multi-level partitioning, indexes, compression, and statistics.
• Proven experience in Teradata performance tuning, including skew and spool analysis, redistribution versus duplication, DBQL analysis, TASM, and Workload Designer.
• Strong knowledge of TPT, FastLoad, MultiLoad, BTEQ, ELT, load/restart handling, and batch workload optimization.
• Experience with QueryGrid, Native Object Store, Data Mover, Viewpoint, and Teradata interoperability capabilities.
• Strong understanding of compute/storage separation, data virtualization, object-store-backed architectures, and open table formats.
• Experience with Informatica, AbInitio, Kafka/CDC, API-based ingestion, and pushdown optimization.
• Experience with data governance, metadata management, business glossary, data stewardship, automated lineage, and impact analysis.
• Hands-on exposure to Informatica EDC/Axon/CDGC, Collibra, or Alation.
• Strong understanding of Power BI, Qlik, MicroStrategy, semantic layers, and governed data consumption.
• Working knowledge of MinIO, Ozone, Iceberg, Delta Lake, and Hudi, including their architectural trade-offs.
• Strong understanding of telecom source systems and analytical domains including billing, mediation, interconnect, CRM, DPI, CDRs, network performance, customer experience, churn, ARPU, and network KPI marts.

Preferred Certifications and Knowledge

• Teradata Certified Master, Vantage Data Engineering, Vantage Architecture certification, or current Teradata Accreditation Badge is preferred.
• Exposure to data mesh and data product operating models.

Application Information

This is a full-time position based in Riyadh, Saudi Arabia. Further details regarding the application process will be provided upon inquiry.