Data Architect

Role Summary:

The Data Architect is responsible for designing, governing, and implementing enterprise-wide data architecture strategies to enable trusted, scalable, and high-performing data platforms. This role ensures data consistency, security, and accessibility across multiple business domains aligning data initiatives with business goals and digital transformation programs.

Remote : Riyadh Timing

Key Responsibilities:

1. Data Architecture & Modeling

• Design and implement enterprise data architecture (conceptual, logical, and physical models) aligned with business objectives and governance standards.
• Develop and maintain data models for transactional, analytical, and big data systems (data warehouse, lakehouse, and mesh).
• Standardize data definitions, metadata structures, and lineage documentation.

2. Data Platform Strategy & Design

• Architect end-to-end data solutions across on-premise, cloud (Azure/oracle), and hybrid environments.
• Define frameworks for data ingestion, processing, storage, and access using modern technologies (e.g., Databricks, Delta Lake, Denodo).
• Support implementation of data fabric, federated, or mesh architectures as per enterprise maturity.

3. Data Governance, Quality & Security

• Collaborate with Data Governance teams to enforce NDMO, PDPL, and SDAIA compliance.
• Define standards for data quality, lineage, privacy, and master data management.
• Implement security-by-design principles, ensuring role-based and policy-driven data access.

4. Integration & Advanced Analytics Enablement

• Lead integration between structured and unstructured data sources (ERP, OT, IoT, external APIs).
• Enable self-service BI, predictive analytics, and ML platforms through semantic modeling and metadata management.
• Work with data scientists and analysts to optimize datasets for performance and scalability.

5. Collaboration & Leadership

• Partner with enterprise architects, business SMEs, and IT teams to translate business requirements into scalable data solutions.
• Mentor developers, data engineers, and analysts on architecture standards and best practices.
• Conduct regular data platform assessments and recommend modernization initiatives.

Required Skills & Qualifications:

• Bachelors or Masters degree in Computer Science, Data Engineering, or related field.
• 15+ years of experience in data architecture, data engineering, or analytics platform design.
• Expertise in relational and NoSQL databases (SQL Server, Oracle, PostgreSQL, Neo4j,Cosmos DB, etc.).
• Proficiency in cloud data services (Oracle data warehouse,Azure fabric and Databricks).
• Strong experience in data modeling tools (Visio, dbt).
• Knowledge of data governance, MDM, metadata, and catalog tools (Informatica, Denodo).
• Solid understanding of modern architecture patterns (data mesh, data fabric, lakehouse).
• Familiarity with data pipelines and orchestration (ADF, NiFi, kafka , azure event streaming).
• Strong analytical, communication, and stakeholder management skills.

Preferred Certifications

• Certified Data Management Professional (CDMP)
• Azure/AWS/GCP Data Architect Certification
• TOGAF or DAMA Certification
• Databricks or Snowflake Certified Architect

Key Deliverables

• Enterprise Data Architecture Blueprint & Roadmap
• Data Integration and Governance Frameworks
• Reference Architecture for Data Platforms
• Metadata, Lineage, and Data Catalog Implementation
• Data Quality & Compliance Metrics Dashboard