Job
Description
As ELK architect (Elasticsearch, Logstash, and Kibana), you will be responsible for designing and implementing the data architecture and infrastructure for data analytics, log management, and visualization solutions using the ELK stack. You will collaborate with cross-functional teams, including data engineers, developers, system administrators, and stakeholders, to define data requirements, design data models, and ensure efficient data processing, storage, and retrieval. Your expertise in ELK and data architecture will be instrumental in building scalable and performant data solutions. Responsibilities: 1. Data Architecture Design : Collaborate with stakeholders to understand business requirements and define the data architecture strategy for ELK-based solutions. Design scalable and robust data models, data flows, and data integration patterns. 2. ELK Stack Implementation : Lead the implementation and configuration of ELK stack infrastructure to support data ingestion, processing, indexing, and visualization. Ensure high availability, fault tolerance, and optimal performance of the ELK environment. 3. Data Ingestion and Integration : Design and implement efficient data ingestion pipelines using Logstash or other relevant technologies. Integrate data from various sources, such as databases, APIs, logs, AppDynamics, storage and streaming platforms, into ELK for real-time and batch processing. 4. Data Modeling and Indexing : Design and optimize Elasticsearch indices and mappings to enable fast and accurate search and analysis. Define index templates, shard configurations, and document structures to ensure efficient storage and retrieval of data. 5. Data Visualization and Reporting : Collaborate with stakeholders to understand data visualization and reporting requirements. Utilize Kibana to design and develop visually appealing and interactive dashboards, reports, and visualizations that enable data-driven decision-making. 6. Performance Optimization : Analyze and optimize the performance of data processing and retrieval in ELK. Tune Elasticsearch settings, queries, and aggregations to improve search speed and response time. Optimize data storage, caching, and memory management. 7. Data Security and Compliance : Implement security measures and access controls to protect sensitive data stored in ELK. Ensure compliance with data privacy regulations and industry standards by implementing appropriate encryption, access controls, and auditing mechanisms. 8. Documentation and Collaboration : Create and maintain documentation of data models, data flows, system configurations, and best practices. Collaborate with cross-functional teams, providing guidance and support on data architecture and ELK-related topics Who You Are Candidate should have minimum 8+ years of experience. Apply Architectural Methods. Design Information System Architecture. Lead Systems Engineering Management. AD & AI leadership.
