Manager, Data Lake Platform

Overview

To ensure the data lake platform is stable, secure, scalable, and cost‑efficient, enabling reliable access to data for analytics, reporting, and data science. The platform maintains performance and governance while supporting continuous improvement and collaboration across technical and business teams.

• Manage the day‑to‑day operations of the data lake platform across cloud or on‑premises environments
• Ensure high availability, reliability, and performance of data storage and processing services
• Monitor platform health, identify issues, and lead resolution efforts
• Oversee compute, storage, and pipeline resource utilization

• Monitor system performance, usage trends, and capacity requirements
• Optimize infrastructure costs across storage and compute resources
• Identify performance bottlenecks and implement corrective improvements
• Ensure scalability of the platform to support growing data volumes and workloads

• Enforce data access controls, security policies, and compliance requirements
• Implement and maintain data lifecycle management policies (retention, archiving, deletion)
• Support internal and external audit requirements
• Ensure secure handling of sensitive and regulated data

• Coordinate platform upgrades, patches, and feature enhancements
• Collaborate with engineering teams on infrastructure and architecture improvements
• Manage integration of new tools and services into the data ecosystem
• Ensure controlled and low‑risk deployment of platform changes

• Support data engineers, analysts, and data scientists using the platform
• Troubleshoot platform, pipeline, and data access issues
• Improve usability, discoverability, and accessibility of data assets
• Act as escalation point for platform‑related incidents and requests

• Define and track key performance indicators (KPIs) for platform health, cost, and usage
• Provide regular reporting to leadership on platform performance and risks
• Maintain operational documentation and standards for platform usage
• Recommend improvements based on monitoring insight

• Academic
  
  Qualification:
  
  Bachelor degree in Computer Engineering or a relevant field
• Work Experience:
  
  10–15 years in data lake, cloud, or big data platform operations
• Technical
  
  Competencies:
  
  Data analysis, data lifecycle management, data planning
• Knowledge of cloud platforms (AWS, Azure, GCP) and big‑data technologies

• Adherence to health, safety, and environmental regulations is mandatory