Platform Engineering

From on-premise warehouse to a scalable, AI-ready cloud data platform

How a global luxury group migrated from an on-premise SAP data warehouse to a cloud-native platform on BigQuery and dbt, enabling self-service analytics with Looker.

A global luxury group operating in the luxury & retail sector, with more than 20,000 employees and operations across Europe.

Industry

Luxury & Retail

Location

Europe

Stack

BigQuery · dbt · Looker · GCP

Overview

Cloud-native platform built on BigQuery and dbt.

Data modeling standards and CI/CD from day one.

Governance and data quality practices implemented.


Background

The client

A global luxury group undergoing a multi-year data transformation, migrating from an on-premise data warehouse to Google Cloud to modernize analytics capabilities and empower business teams with reliable, self-service data.


The challenge

Moving SAP data to the cloud without the cloud expertise

The team was running a complex, on-premise SAP data environment and lacked the cloud skills needed to migrate confidently to GCP.
Beyond technical gaps, engaging business stakeholders in an IT-driven transformation proved difficult, and the data team needed a partner to ensure security, compliance, and cost control while delivering a strong user experience.


Solutions

Modernizing analytics with a cloud-native data foundation


01

Building a cloud-native data platform on GCP

Astrafy designed and built the data platform on GCP, leveraging BigQuery as the core analytical engine and dbt for robust, modular, and testable data transformations. Clear data modeling standards, CI/CD practices, and governance principles were established from day one to ensure data quality, lineage, and long-term maintainability.


02

Performance optimization and cost efficiency

Astrafy applied best practices for BigQuery performance and cost management, enabling scalable and sustainable analytics. The architecture was designed to accommodate growing data volumes while keeping infrastructure costs under control and ensuring a good experience for end users.


03

Upskilling the team for long-term autonomy

Throughout the engagement, the internal team was gradually upskilled on cloud-native tools and practices. A shared knowledge base and clear architecture gave everyone the confidence to work independently, accelerating the broader data transformation program.


Results

Turning AI into a scalable product


  • Internal team fully upskilled on cloud-native stack

  • Self-service data capabilities previously unavailable

  • Modular, scalable, and AI-ready platform delivered

  • Increased performance & reduced computing constraints

  • More data sources enabled for end-user consumption


“People matter, as much as selecting the right partner. Astrafy is pragmatic and action-oriented, with a straightforward, non-political approach, based on real experience and skills."

Data Platform & Analytics Senior Manager @ Global Luxury Group

“People matter, as much as selecting the right partner. Astrafy is pragmatic and action-oriented, with a straightforward, non-political approach, based on real experience and skills."

Data Platform & Analytics Senior Manager @ Global Luxury Group

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