Global Data & AI Lead — Databricks/Lakehouse

Linde Gas; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Linde Gas seeks a Senior Data Architect to own the Data Governance and Data Platform framework for Homecare Europe. You will drive a multi-year Data & AI transformation across multiple countries and act as the RSW authority on data architecture, aligning data strategy with regulatory needs.

You will design a lakehouse-based platform, build pipelines in Databricks, and implement secure data handling to deliver governed data products, while mentoring teams and setting engineering standards.

Formación

• 8+ years in data architecture and data engineering for enterprise platforms.

Responsabilidades

• Own Data Governance and Data Platform framework for Homecare Europe; implement and operate Data Platform.
• Lead multi-country Data & AI transformation roadmap.
• Act as RSW authority for Data & AI architecture and influence global decisions.
• Define target lakehouse architecture and roadmap for data sources and governed data products (Databricks-first).
• Build ingestion and transformation pipelines in Databricks (Python/PySpark, SQL, Delta Lake).
• Implement governance and security with Unity Catalog and manage PII per GDPR.
• Establish data modeling standards and KPI/semantic layers; deliver curated datasets for Power BI and APIs.
• Set engineering standards for CI/CD, testing, monitoring, and runbooks.

Conocimientos

Leadership

Cross-functional collaboration

Governance

Data architecture

Mentoring

Budget management

Strategic planning

Data governance

Herramientas

Databricks

Spark

Delta Lake

Unity Catalog

Power BI

Descripción del empleo

Linde Gas seeks a Senior Data Architect to own the Data Governance and Data Platform framework for Homecare Europe. You will drive a multi-year Data & AI transformation across multiple countries and act as the RSW authority on data architecture, aligning data strategy with regulatory needs.

You will design a lakehouse-based platform, build pipelines in Databricks, and implement secure data handling to deliver governed data products, while mentoring teams and setting engineering standards.