Associate Director - DataOps Engineer | Riyadh, SA

Job Description The role is responsible to design, build and maintain the data pipelines and tools that support democratizing data across the organization to enable data driven decision making. He/she will collaborate with Data Scientists, Product teams and business stakeholders to transform business requirements into efficient and reliable solutions. Responsibilities

• Develop and maintain data Lakehouse solutions leveraging Google BigQuery and Vertex AI, optimized for performance, cost-effectiveness, and advanced analytics.
• Lead the Design and development of robust data pipelines (streaming, batch, API endpoints) for efficient data collection, transformation, and analysis.
• Ensure data solutions are secure and compliant with industry regulations, supporting detailed reporting and self-service analytics.
• Implement best practices for data quality, consistency, and integrity across the entire data infrastructure.
• Establish monitoring, logging, and alerting frameworks to ensure data pipeline reliability and performance.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Conduct code reviews and drive continuous improvement in development processes.
• Enable secure sharing of data through data marketplaces, maintaining data catalogs and lineage.
• Document data solutions , ensuring operational knowledge is accessible organization-wide.
• Mentor and guide a team of data engineers , fostering innovation and collaboration.
• Perform any other duties assigned by the line manager related to the nature of the work.
• Enforce, incorporate, and comply with all necessary controls and related information security policies, procedures, practices, training, reporting, personal due diligence, and vigilance, within departmental/unit activities and operations.

• Bachelor's degree from a recognized university.
• Google Cloud Professional Data Engineer certification.

• 8 to 10 years of equivalent experience in designing and implementing data pipelines using Google Cloud or other public cloud platforms.
• Deep expertise in Google Cloud technologies such as BigQuery, Data Fusion, DataForm, DataFlow, Cloud Composer, DataPlex, Dataproc, Analytics Hub, etc.
• Strong understanding of data governance principles, including security, compliance, and privacy by design.

• Requirements analysis
• Data pipeline development

• Collaboration
• Communication
• Problem Solving