Redcare Pharmacy

Data Analytics Architect (m/f/d)

Stellenbeschreibung:

Overview

As Analytics Architect, you will shape the enterprise analytics foundation across Fabric and Databricks to support a large user base and trusted data products. You will set governance, semantic modeling, and a robust metrics layer while ensuring observability and long-term maintainability. This role focuses on systems thinking at scale, not just dashboards, enabling cross-functional teams to derive insights responsibly. You will work on architecture that scales with business needs and contributes to Redcare’s mission of making health accessible and data-driven.

Leistungen / Benefits
  • Work from Home
  • Personal development
  • Redcare events
  • Corporate pension plan
  • Mental Health support
Verantwortungsbereiche
  • Define and own enterprise analytics architecture across Fabric and Databricks, aligning design with scale and long-term strategy
  • Architect and optimize large-scale semantic models, including incremental refresh and aggregation strategies
  • Establish a governed metrics layer (DBT) with versioned transformations and clear separation between transformation and consumption
  • Design and enforce data governance and access control using Unity Catalog, RBAC, and workspace isolation
  • Lead system-level performance diagnostics to identify bottlenecks across modeling, compute, and governance
Zentrale Anforderungen
  • Strong production experience with Fabric / Power BI Premium capacity and performance under high concurrency
  • Hands-on expertise in Databricks and SparkSQL, including optimization and governance via Unity Catalog
  • Experience building and scaling a metrics layer architecture (DBT preferred) in an enterprise environment
  • Ability to diagnose complex performance issues across modeling, compute, and capacity layers
  • Systems thinking
  • Problem solving
  • Cross-functional collaboration
  • Databricks
  • SparkSQL
  • Microsoft Fabric
NOTE / HINWEIS:
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Köln

    Einsatzort:

    Deutschland
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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