Founding Data Architect — AI Pipelines, Equity, Hybrid

Client Server

Greater London

Híbrido

GBP 103.500 - 126.500

Jornada completa

14 días+

Una candidatura completa en un minuto

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Ventajas ofrecidas por este puesto de trabajo

Equity
Pension
Career progression opportunities

Descripción de la vacante

A technology firm is seeking a Founding Solutions Data Architect in London to support their AI native data pipelining platform. This role involves solution design, technical onboarding, and troubleshooting. Candidates should have experience in a data-focused role and strong technical knowledge, especially in Python, SQL, and cloud platforms. The company offers a competitive salary up to £115k, equity, and an impactful role with career progression. Flexible work-from-home options are available.

Formación

  • Experience in a Solutions Architect, Data Engineer, or similar role within a Data product or SaaS company.
  • In-depth technical knowledge of data workflows and cloud platforms.
  • Leadership in technical deployments and customer project management.

Responsabilidades

  • Responsible for Solution Design and Architecture.
  • Provide Technical Onboarding and implementation support.
  • Deliver technical troubleshooting and training.

Conocimientos

Python for data workflows
SQL and Data Modelling
DBT
Cloud platforms (AWS, GCP, Azure)
Workflow Orchestration tools (Airflow, Dagster, Prefect, DBT Cloud)
CI/CD (GitHub Actions, GitLab CI, CircleCI)
Advanced communication and presentation skills

Descripción del empleo

A technology firm is seeking a Founding Solutions Data Architect in London to support their AI native data pipelining platform. This role involves solution design, technical onboarding, and troubleshooting. Candidates should have experience in a data-focused role and strong technical knowledge, especially in Python, SQL, and cloud platforms. The company offers a competitive salary up to £115k, equity, and an impactful role with career progression. Flexible work-from-home options are available.
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