Elastic Data Architect - Mumbai, India - Kyndryl Solutions Private Limited

Kyndryl Solutions Private Limited
Kyndryl Solutions Private Limited
Verified Company
Mumbai, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

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Description

Why Kyndryl
Kyndryl is a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl?


We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities.

We invest heavily in you - not only through learning, training, and career development, but also through the flexible working practices and stellar benefits that help you grow and progress long-term.

And we give back - from planting 90,000 trees in our first 3 months as part of our One Tree Planted initiative to the Corporate Social Responsibility and Environment, Social and Governance practices embedded within everything we do, we are committed to powering human progress in an ethical, sustainable way.


Your Role and Responsibilities

  • As a Data Architect specializing in ELK (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 crossfunctional 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


Required Technical and Professional Expertise

  • Design Information System Architecture.
  • Lead Systems Engineering Management.
  • AD & AI leadership.

Preferred Technical and Professional Experience

  • Advise on Cloud Design & Implementation Consulting.
  • Application Data and AI.

Required Education
Bachelor's Degree


Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are.

We welcome people of all cultures, backgrounds, and experiences.

But we're not doing it single-handily: Our Kyndryl Inclusion Networks (KINs) are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice.

This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture.

That's the Kyndryl Way.


Other things to know

Primary Job Category
Architect


Role (Job Role)
Information Architect


Employment Type
Full-Time


Contract Type
Regular


Position Type
Professional


Travel Required
Some travel may be required based on business deman
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