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Bigdata Lead Architect
3 weeks ago
**Key Responsibilities**:
- Lead the design, architecture, and implementation of end-to-end Big Data solutions.
- Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
- Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
- Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
- Automate infrastructure and deployment processes using Chef and Shell scripting.
- Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
- Manage security frameworks for big data environments using CyberArk and Trend Micro.
- Perform infrastructure troubleshooting and manage incident resolution using Remedy.
- Optimize database performance and management using PostgreSQL.
- Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.
**Required Skills & Qualifications**:
- **Education**:Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.
- **Experience**:7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.
- **Technical Expertise**:Cloudera CDH/CDP platforms and Cloudera Machine Learning.
Azure Cloud architecture and deployment.
Experience with Kubernetes, VMWare, RHEL, and container orchestration.
Monitoring tools: Prometheus, Grafana.
Security tools: Trend Micro, CyberArk.
Scripting: Shell scripting and automation with Chef.
Strong experience with Tableau and SAS for data visualization and analytics.
Database expertise in PostgreSQL.
- Strong experience in infrastructure management with HPE servers.
- Proven experience in working with cloud and on-premise environments.
**Preferred Skills**:
- Experience with disaster recovery, high availability, and security compliance.
- Experience with DevOps practices and continuous integration (CI) pipelines.
- Experience managing large-scale environments and multi-tier architectures.
**Soft Skills**:
- Strong problem-solving and critical-thinking skills.
- Excellent communication and leadership abilities.
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Strong organizational and multitasking skills.