Senior Data Architect

Innovation Team

  • Riyadh
  • Permanent
  • Full-time
  • 1 month ago
  • Apply easily
Job Title: Senior Data ArchitectLocation: Riyadh, Saudi Arabia (Onsite)Employment Type: Full-timeWe are hiring a Senior Data Architect (10+ years) to lead the design and delivery of an enterprise-grade data platform. This is a senior leadership role responsible for shaping long-term data strategy, implementing architectural standards, and mentoring engineering teams.RequirementsThe ideal candidate will have extensive experience in enterprise-scale data platforms (on-premises or cloud), with deep expertise in data lake and lakehouse architectures, governance, and driving enterprise-wide data standardization initiatives. Industry background in telecom, finance, tech, or other data-heavy sectors is required.Key Responsibilities
  • Enterprise Data Strategy: Define and execute a long-term data architecture vision aligned with enterprise priorities and compliance requirements.
  • Data Lake & Lakehouse Architecture: Lead the design, deployment, and optimization of enterprise data lake/lakehouse platforms, whether on-premises, cloud, or hybrid.
  • Architectural Standards: Establish and enforce organization-wide data architecture standards, including modeling and integration frameworks.
  • ETL/ELT Pipelines: Direct the development of scalable batch and streaming pipelines to handle large, complex data volumes.
  • Data Governance & Compliance: Implement robust data governance, lineage tracking, and metadata frameworks to ensure quality and compliance (e.g., GDPR, NDMO).
  • Platform Performance: Continuously optimize platform scalability, performance, and cost efficiency across on-premises or cloud environments.
  • Leadership & Mentorship: Guide and mentor engineering teams, instilling best practices and ensuring adherence to architecture standards.
  • Technology Evaluation: Evaluate and introduce emerging tools and methodologies suitable for enterprise-scale data modernization initiatives.
Qualifications:Education: Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field.Experience:
  • 10+ years in data engineering, data architecture, or enterprise data platform roles.
  • Proven track record in leading enterprise-scale data platform implementations (on-premises or cloud).
  • Demonstrated expertise in data lake and lakehouse architectures (on-premises, hybrid, or cloud).
  • Strong experience driving enterprise-wide data standardization and modernization initiatives.
  • Proficiency with ETL/ELT tools (Airflow, dbt, Glue) and big data ecosystems (Spark, Kafka, Delta Lake, Iceberg).
  • Deep knowledge of data governance and metadata tools (Collibra, Alation, Apache Atlas).
Soft Skills:
  • Executive-level leadership and stakeholder management capabilities.
  • Ability to define architecture vision and enforce standards across multiple teams and domains.
  • Excellent communication skills with technical and executive stakeholders.

Innovation Team