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Architect - Data Observability

N Consulting Limited

Leeds

Hybrid

GBP 125,000 - 150,000

30 days ago

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Job summary

An innovative firm is seeking a Data Observability Architect to enhance their monitoring capabilities across diverse platforms. This role involves leveraging modern observability tools to ensure robust data governance and effective monitoring of systems, applications, and microservices. The ideal candidate will possess strong communication skills to articulate the observability strategy and collaborate with various stakeholders. Join a forward-thinking company that values cutting-edge technology and offers a hybrid work environment, where your contributions will play a critical role in shaping the future of data observability.

Qualifications

  • Experience with modern observability tools on cloud and non-cloud platforms.
  • Knowledge of Data governance frameworks and tools.

Responsibilities

  • Implement monitoring for OS, K8, DBs, APIs, Applications, and microservices.
  • Communicate and sell the observability strategy to a wide audience.

Skills

Data Observability

Communication Skills

Technical Documentation

Tools

Open Telemetry

Grafana

Prometheus

Splunk

Open Search

Collibra

Job description

Role: Architect - Data Observability

Location: Leeds (Hybrid)

Duration: Full-time

Responsibilities:
  1. Should be well versed with modern observability tools and standards on both cloud and non-cloud hosting platforms.
  2. Particularly familiar with Open Telemetry around how to best ingest and display metrics, logs, and traces.
  3. Experience with Open Search, Grafana, Prometheus, oTel, and Splunk.
  4. Experience in building monitoring for OS (Linux and Windows), K8, DBs, APIs, Applications, and microservices.
  5. Good design and documentation skills to ensure any framework can be successfully implemented and supported.
  6. The ability to communicate and sell the overall observability strategy to a wide audience.
  7. Ability to explain technical requirements in detail.
  8. Knowledge of Data Observability tools (ADOC, Monte Carlo, etc).
  9. Knowledge of Data governance frameworks and tools (Collibra, DQ solutions, Data Engineering, pipelines, etc).
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