Robusta Studio
robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany.
51 - 200 employees
Enterprise Data Architect
Job not on LinkedIn
November 18
Robusta Studio
robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany.
51 - 200 employees
📋 Description
• Develop and maintain the Enterprise Data Architecture blueprint, covering all data layers (Landing Zone, Raw, Curated, Semantic, Sandbox). • Define and manage enterprise data models (conceptual, logical, and physical). • Design, implement, and expand the semantic layer to serve as the enterprise single source of truth (SSOT). • Deliver governed data marts, curated datasets for AI/ML pilots, and advanced data products. • Establish and enforce data governance standards, including data lineage, metadata, and business glossary frameworks. • Ensure full compliance with Saudi data regulations (PDPL, NDMO, SAMA/IA). • Implement role-based access controls, PII masking, and auditable security measures. • Achieve measurable BigQuery cost optimization (partitioning, clustering, caching, etc.). • Reduce reporting cycle time and improve dashboard accuracy. • Integrate unstructured and semi-structured data (logs, documents, IoT) into governed data models. • Work closely with Data Quality, Data Science, and RPA teams to support cross-functional initiatives. • Conduct workshops and provide best-practice guidance to internal teams. • Mentor and support junior data analysts to build internal capabilities. • Drive alignment on KPIs and definitions across business units for consistent reporting. • Enable data monetization by preparing reusable curated datasets and APIs. • Contribute directly to business ROI through cost savings, improved insights, and faster data-driven decision-making. • Deliver clear documentation, blueprints, and governance playbooks as part of the engagement.
🎯 Requirements
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (required). • Master’s degree in Data Architecture, Data Science, or Business Analytics (preferred). • 8+ years of experience in Enterprise Data Architecture and data modeling. • Proven record of delivering data marts and semantic layers at scale. • Strong expertise with cloud-native data platforms (preferably Google BigQuery). • Experience with metadata/catalog tools, data lineage tracking, and governance frameworks. • Previous exposure to Saudi data compliance projects (PDPL, NDMO, SAMA/IA). • Familiarity with AI/ML platforms (Vertex AI, SageMaker, etc.). • Experience with data monetization strategies and API marketplaces (preferred). • Insurance or financial services domain experience (preferred). • Strong understanding of data classification, data security controls, and personal data protection. • Excellent stakeholder engagement and cross-functional leadership abilities. • Effective mentoring and knowledge-transfer capabilities. • Strong documentation, communication, and problem-solving skills. • Google Cloud Professional Data Engineer (preferred). • DAMA CDMP. • TOGAF.
Apply Now