Senior Manager Data Platform Engineering

Vor 4 Tagen

Meyrin, Genf, Schweiz Richemont Vollzeit

Senior Manager Data Platforms Engineering

Main Purpose

At Richemont, we strongly believe in the transformative potential of analytics and artificial intelligence to empower our workforce. Our goal is to establish a data-centric culture focused on harnessing the capabilities of Google Cloud Platform to drive informed decision-making, enhance customer experiences, innovate new offerings, and optimize operational efficiencies.

The Senior Manager Data Platform Engineering role entails overseeing the delivery, enhancement, and maintenance of data platform functionalities in collaboration with various data engineering, analytics, and science teams across the organization.

As a pivotal contributor, you will play a crucial role in shaping and leading the development of our cutting-edge data infrastructure.

Our vision revolves around equipping our data professionals with cutting-edge self-service tools, spanning from traditional business intelligence to advanced analytics and artificial intelligence, all powered by real-time data streams.

Joining our leadership cohort, you will be instrumental in steering our transition from legacy systems to a modern, integrated data platform on Google Cloud.

Key Responsibilities

  • Manage a team of highly skilled data platform engineers.
  • Drive the construction of our next-generation data platform on GCP.
  • Collaborate with business units to decipher data requirements and implement technical solutions aligned with industry best practices.
  • Prioritize data platform security by enforcing robust measures to protect data integrity and confidentiality.
  • Implement data governance protocols and deploy appropriate technical solutions.
  • Champion data strategy across the organization and facilitate the migration from legacy systems.
  • Monitor data platform activities comprehensively (including usage, billing, IAM, alerts, etc.).

Skillset

  • Demonstrable expertise in managing data platforms within a dynamic, evolving environment.
  • Proven track record in developing data capabilities for users and applications.
  • Proficiency in Google Cloud Platform, particularly in BigQuery, Vertex AI, and Looker.
  • Strong programming skills (Python, Kotlin, Java, etc.).
  • Experience with tools like DBT and Terraform at scale.
  • Familiarity with SAP ERP, SAP BW, SAP Analytics Cloud, and Power BI is advantageous.
  • Experience in data extraction and loading using various integration tools (Fivetran, HVR, etc.).

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