Lead Specialist, Data Lakehouse II
Ma'aden عرض جميع الوظائف
- الرياض
- دائم
- دوام كامل
- Optimize performance of compute and storage through partitioning, file formats, indexing, caching, and workload management; ensure SLAs for priority use cases.
- Embed governance-by-design by integrating security, access controls, classification handling, and auditability into platform patterns.
- Support ingestion and transformation pipelines by providing platform guidance on orchestration, reliability patterns, and error handling.
- Define and maintain operational monitoring (health checks, pipeline observability, capacity, costs) and drive incident/problem management improvements.
- Collaborate with data modeling and governance teams to ensure metadata, lineage, and data quality controls are systematically applied to lakehouse assets.
- Provide technical leadership to specialists and vendors; perform design reviews and enforce platform standards across delivery initiatives.
- Contribute to platform roadmap and continuous improvement, evaluating new features and recommending adoption aligned to enterprise needs.
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
- 7-10 years of experience in data engineering and modern data platforms with hands-on lakehouse experience.
- Experience operating production platforms with reliability, security, and cost optimization responsibilities.
- Ownership & Accountability - Takes end-to-end ownership for delivery and outcomes.
- Collaboration - Works effectively across engineering, governance, and business teams.
- Execution Excellence - Delivers robust solutions with strong quality and reliability.
- Continuous Improvement - Improves performance, cost, and operability over time.
- Impact & Influence - Guides teams and vendors through technical leadership.
- Hands-on experience with lakehouse architectures, data processing engines, and cloud storage/compute optimization.
- Strong understanding of data governance, security, and access control requirements as applied to platforms.
- Operational excellence: monitoring, incident management, root-cause analysis, and continuous improvement.
- Ability to create reference architectures and support multiple delivery teams effectively.
- Strong communication and stakeholder management across engineering, governance, and consumers.