Enterprise Data Architect

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Create and sustain the Enterprise Data Architecture framework, encompassing all data layers (Landing Zone, Raw, Curated, Semantic, Sandbox).

• Establish and oversee enterprise data models (conceptual, logical, and physical).

• Design, implement, and enhance the semantic layer to act as the enterprise's single source of truth (SSOT).

• Provide governed data marts, curated datasets for AI/ML pilots, and advanced data products.

• Set and uphold data governance standards, which include data lineage, metadata, and business glossary frameworks.

• Ensure complete adherence to Saudi data regulations (PDPL, NDMO, SAMA/IA).

• Execute role-based access controls, PII masking, and auditable security measures.

• Achieve quantifiable BigQuery cost optimization (partitioning, clustering, caching, etc.).

• Decrease reporting cycle duration and enhance dashboard accuracy.

• Integrate unstructured and semi-structured data (logs, documents, IoT) into governed data models.

• Collaborate closely with Data Quality, Data Science, and RPA teams to bolster cross-functional initiatives.

• Facilitate workshops and offer best-practice guidance to internal teams.

• Mentor and assist junior data analysts to enhance internal capabilities.

• Foster alignment on KPIs and definitions across business units for uniform reporting.

• Enable data monetization by preparing reusable curated datasets and APIs.

• Directly contribute to business ROI through cost savings, enhanced insights, and expedited data-driven decision-making.

• Provide 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).

• 4+ years of experience in Enterprise Data Architecture and data modeling.

• Demonstrated success in delivering data marts and semantic layers at scale.

• Strong proficiency with cloud-native data platforms (preferably Google BigQuery).

• Experience with metadata/catalog tools, data lineage tracking, and governance frameworks.

• Prior involvement in 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).

• Experience in the insurance or financial services domain (preferred).

• Strong understanding of data classification, data security controls, and personal data protection.

• Excellent stakeholder engagement and cross-functional leadership skills.

• Effective mentoring and knowledge-transfer abilities.

• Strong documentation, communication, and problem-solving skills.

• Google Cloud Professional Data Engineer certification (preferred).

• DAMA CDMP certification (preferred).

• TOGAF certification (preferred).

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Health and wellness programs.

• Collaborative and inclusive work environment.