Data Architect & Tooling Lead for Scalable Data Platforms

Syone

Lisboa

Presencial

EUR 45 000 - 70 000

Tempo integral

14 dias+
Gerador de candidaturas

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

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Resumo da oferta

A leading tech firm in Lisbon is seeking a Data Architect & Tooling Specialist to enhance its data platform. The role involves developing data product catalogs, designing centralized metadata repositories, and implementing observability for data pipelines. Candidates should have strong experience with monitoring tools, CI/CD workflows, and ML-based data quality tools. Proficiency in Python and SQL is essential. This position provides an opportunity to lead data governance initiatives and mentor engineering teams in a dynamic environment.

Qualificações

  • Hands-on experience with monitoring tools like Prometheus and Grafana.
  • Expertise in CI/CD workflows and orchestration tools.
  • Ability to build and maintain data catalogs.
  • Skilled in designing business vocabularies and data contracts.
  • Experience with ML-based data profiling tools.

Responsabilidades

  • Develop and maintain the data product catalog and lineage.
  • Design a centralized metadata repository.
  • Enforce semantic models and maintain lineage graphs.
  • Provide dashboards for data quality and access logs.
  • Lead data governance reviews and mentor engineers.

Conhecimentos

Observability & Monitoring
Tooling & Automation
Metadata Management
Semantic Modeling
AI-Assisted Data Quality
Python
SQL

Ferramentas

Prometheus
Grafana
OpenTelemetry
dbt
Airflow
Dagster
Prefect
DataHub
Amundsen
Collibra
Alation
Great Expectations
Monte Carlo
Datafold
Bigeye

Descrição da oferta de emprego

A leading tech firm in Lisbon is seeking a Data Architect & Tooling Specialist to enhance its data platform. The role involves developing data product catalogs, designing centralized metadata repositories, and implementing observability for data pipelines. Candidates should have strong experience with monitoring tools, CI/CD workflows, and ML-based data quality tools. Proficiency in Python and SQL is essential. This position provides an opportunity to lead data governance initiatives and mentor engineering teams in a dynamic environment.
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