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Job Title: Big Data Platform Administrator & Strategist

Overview

We are seeking an experienced and forward-thinking Big Data Platform Administrator & Strategist to serve as a key link between the Hadoop platform administration team and various application development groups. This role focuses on platform oversight, strategic planning, and cross-team collaboration rather than daily operational administration. The ideal candidate will help ensure the platform’s performance, stability, scalability, and long-term readiness while promoting best practices and guiding technical decision-making across teams.

Key Responsibilities

1. Stakeholder Coordination

• Act as the primary point of contact for all platform-related discussions.
• Bridge communication between Hadoop administrators and application development teams.
• Ensure consistent alignment and understanding across all stakeholders.

2. Platform Upgrade & Release Management

• Review upcoming Hadoop platform releases, including new features, patches, and library updates.
• Conduct impact assessments for existing applications and services.
• Identify potential risks, opportunities, and necessary remediations.
• Coordinate and communicate upgrade timelines and technical requirements across teams.

3. Technical Evaluation & Adoption

• Assess new features and libraries within the Hadoop ecosystem that may enhance platform performance or developer productivity.
• Recommend adoption of relevant technologies and methodologies.
• Support the evolution and modernization of the big data environment.

4. Cluster Health & Optimization

• Monitor cluster health, performance metrics, and resource utilization.
• Recommend and guide optimization initiatives to improve efficiency, scalability, and cost-effectiveness.
• Collaborate with administrators to resolve complex platform-level issues.

5. Resource Governance & Housekeeping

• Oversee resource allocation across applications, tenants, and workloads.
• Define and enforce policies related to resource quotas, data lifecycle management, and storage optimization.
• Implement housekeeping strategies to maintain a clean, sustainable, and high-performing cluster environment.

6. Best Practices & Operational Excellence

• Document and promote best practices for development, deployment, and operational use of the Hadoop platform.
• Support initiatives to enhance platform stability, resilience, and uptime.
• Contribute to disaster recovery and business continuity planning.

7. Solution Design & Innovation

• Research emerging technologies and architectural approaches relevant to big data ecosystems.
• Recommend solutions for performance challenges, new business requirements, and evolving workloads.
• Stay updated on industry trends and opportunities for continuous improvement.

Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience

• 5+ years of experience in large-scale big data environments, with strong exposure to Hadoop.
• Demonstrated technical leadership or architect-level experience working across operations and development teams.
• Experience with distributed systems, data processing frameworks (., Spark, Hive), and data warehousing concepts.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (., Docker, Kubernetes) is a plus.

Technical Skills

• Strong expertise in Hadoop ecosystem components (HDFS, YARN, MapReduce, Hive, Spark, Kafka, .
• Solid understanding of Spark architecture and core concepts.
• Proficiency in Linux-based systems and scripting for automation.
• Working knowledge of Python or Scala.
• Experience with monitoring and logging tools (., Grafana, Prometheus).
• Understanding of data engineering tools and consumption patterns.
• Awareness of security best practices in big data environments.