Overview
Data Architect Jobs in Riyadh, Saudi Arabia at E-Solutions
Title: Data Architect
Company: E-Solutions
Location: Riyadh, Saudi Arabia
Location – Riyadh, KSA
Exp: 10+ Years
Job Description
Job Title: Data Architect
JD
Key Responsibilities
1. Data Architecture & Design
• Develop and maintain enterprise data architecture, including conceptual, logical, and physical data models.
• Design data pipelines, data lakes, data warehouses, and integration platforms.
• Define standards for master data management (MDM), metadata management, and data quality.
• Architect solutions for real-time, batch, and streaming data processing.
2. Cloud & Platform Expertise
• Design scalable data solutions on Azure / AWS / GCP.
• Build and optimize Data Lakehouse architectures (Databricks, Snowflake, Synapse, BigQuery, Redshift).
• Recommend appropriate data storage formats (Parquet, Delta Lake, ORC, etc.).
3. Data Governance & Security
• Ensure data security, compliance, and privacy aligned with enterprise and regulatory standards.
• Implement RBAC, data lineage, auditability, cataloging, and governance frameworks.
• Work with InfoSec to enforce best practices for secure data access and retention.
4. Collaboration & Solution Delivery
• Partner with Business, Data Engineers, BI teams, and Application Architects to define data requirements.
• Provide architecture reviews, design documents, and implementation guidance.
• Support decision-making with data modeling best practices and architecture recommendations.
5. Performance Optimization & Best Practices
• Optimize database performance, indexing, query tuning, and ETL processes.
• Assess and recommend new tools, frameworks, and technologies.
• Ensure high data availability, disaster recovery, and scalability.
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Required Skills & Experience
Technical Skills
• Strong expertise in data modeling (OLTP, OLAP, Dimensional, Data Vault).
• Experience with ETL/ELT tools: ADF, Informatica, Talend, Databricks, DBT.
• Knowledge of SQL/NoSQL databases: PostgreSQL, MySQL, MongoDB, Cassandra.
• Hands-on with data streaming platforms: Kafka, EventHub, Kinesis.
• Experience with API-based data integration, microservices, and event-driven architecture.
• Familiarity with AI/ML data preparation, feature stores, and MLOps is a plus.
Experience Required
• 10 -15+ years in data engineering, database design, or architecture roles.
• Proven experience as a Data Architect in enterprise environments.
• BFSI domain experience is an added advantage.