Senior Data Architect

Lead the design and implementation of robust, scalable, and secure data architectures.
- Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.
- Define and enforce data architecture standards, best practices, and governance policies.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Oversee data integration efforts, including ETL/ELT processes, data pipelines, and data warehousing.
- Optimize data storage and retrieval methods for performance, scalability, and cost-effectiveness.
- Evaluate and select appropriate technologies and platforms to support current and future data needs.
- Conduct regular audits and reviews to ensure data integrity, security, and compliance.
- Mentor and guide junior team members in data architecture principles and methodologies.
- Stay updated on emerging data technologies and trends, driving innovation within the organization.

**Personal Skills**:
**Data Architecture and Modeling**:
In-depth knowledge of data modeling (conceptual, logical, physical), and experience defining scalable and efficient architectures.**Database Technologies**:
Strong expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra).**Big Data and Cloud Platforms**:
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.**ETL/ELT and Data Integration**:
Proficiency in ETL/ELT tools and techniques for integrating, transforming, and migrating data across environments.**Data Governance and Security**:
Understanding of data governance frameworks, data quality principles, privacy regulations (GDPR, CCPA), and best practices for securing data.**Performance Optimization**:
Skills in tuning data systems, improving query performance, and designing data structures that scale.**Enterprise Architecture Alignment**:
Ability to align data architectures with broader enterprise architecture goals and business strategies.**Analytical and Problem-Solving**:
Strong analytical skills for diagnosing architectural issues, evaluating solutions, and implementing improvements.**Communication and Collaboration**:
Excellent communication abilities to work with cross-functional teams, gather requirements, and present complex architectures to stakeholders.**Continuous Learning**:
Commitment to staying updated with emerging data technologies, industry trends, and architectural best practices.

**Technical Skills**:
Data Modeling: Expertise in conceptual, logical, and physical data modeling, including entity-relationship design and dimensional modeling.

Database Technologies: Proficiency with relational (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).Cloud and Big Data: Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Hive).ETL/ELT Tools: Proficiency in ETL/ELT tools (e.g., Informatica, Talend, AWS Glue) and frameworks for data ingestion, transformation, and integration.

Data Warehousing Solutions: Hands-on experience with data warehousing platforms like Snowflake, Redshift, or BigQuery.

Data Integration and Streaming: Knowledge of data integration patterns, APIs, and streaming technologies (e.g., Kafka, Kinesis).Performance Optimization: Ability to optimize database schemas, queries, and data pipelines for scalability, reliability, and speed.

Data Security and Governance: Familiarity with data governance frameworks, encryption, security controls, and compliance standards (GDPR, CCPA).Metadata Management and Cataloging: Experience with metadata repositories, data catalogs, and lineage tracking tools.

Infrastructure as Code and Automation: Skill in using Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and CI/CD pipelines for automated deployments and updates.

**Job Details**:
Job Location

Riyadh, Saudi Arabia

Company Industry

IT Services

Company Type

Employer (Private Sector)

Job Role

Engineering

Job Division

CTO

Career Level

Management

Years of Experience

Min: 11 Max: 20

Degree

Bachelor's degree