Lead Specialist, Data Lakehouse II

Job Description

Job Purpose

Key Accountabilities

• Implement and enhance lakehouse architecture patterns (ingestion, raw/curated layers, data products) ensuring scalability, maintainability, and reuse.
• 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.

Minimum Qualification

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Minimum Experience

• 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.

Maaden High Performance Competencies

• 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.

Skills

• 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.