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Data Architect (Elasticsearch)

GIOS Technology

Manchester

Hybrid

GBP 60,000 - 80,000

Full time

Yesterday
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Job summary

A technology company is seeking a Data Architect. This hybrid role in the UK requires significant experience with Elasticsearch and Data Architecture. Key responsibilities include data modeling and proficiency in SQL, along with experience in cloud platforms like AWS or Azure. Familiarity with data ingestion tools as well as the Elastic Stack (ELK) is essential. The position offers a chance to work in a dynamic environment focusing on large-scale search systems and data governance.

Qualifications

  • Proven experience as a Data Architect, Data Engineer, or in a similar role.
  • Strong hands-on experience with Elasticsearch (indexing, queries, mappings, performance tuning).
  • Solid understanding of data modeling, distributed systems, and data pipelines.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Proficiency in SQL and familiarity with NoSQL databases.
  • Experience with data ingestion tools (Kafka, Logstash, Beats, or similar).
  • Knowledge of real-time analytics or large-scale search systems.
  • Experience with data governance, security, and compliance frameworks.
  • Background in DevOps, CI/CD, or Infrastructure as Code (Terraform, Cloud Formation).

Skills

Data Architecture
Elasticsearch
Elastic Stack (ELK)
Kafka
Logstash

Tools

AWS
Azure
GCP
Terraform
Cloud Formation
Job description

I am hiring for Data Architect (Elasticsearch)

Location : Multi Location at UK - Hybrid

  • Proven experience as a Data Architect, Data Engineer, or similar role
  • Strong hands‑on experience with Elasticsearch (indexing, queries, mappings, performance tuning)
  • Solid understanding of data modeling, distributed systems, and data pipelines
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Proficiency in SQL and familiarity with NoSQL databases
  • Experience with data ingestion tools (Kafka, Logstash, Beats, or similar)
  • Experience with Elastic Stack (ELK) : Kibana, Logstash, Beats
  • Knowledge of real‑time analytics or large‑scale search systems
  • Experience with data governance, security, and compliance frameworks
  • Background in DevOps, CI / CD, or Infrastructure as Code (Terraform, Cloud Formation)

Key Skills : Data Architecture / Elasticsearch / Elastic Stack (ELK) / Kafka / Logstash

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