Lead Enterprise Data Architect

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €31 Billion international wholesaler with operations in more than 30 countries. The store network comprises a total of 623 stores in 21 countries, of which 522 offer out-of-store delivery (OOS), and 94 dedicated depots. In 12 countries, METRO runs only the delivery business by its delivery companies (Food Service Distribution, FSD).

HoReCa and Traders are core customer groups of METRO. The HoReCa section includes hotels, restaurants, catering companies as well as bars, cafés and canteen operators. The Traders section includes small grocery stores and kiosks. The majority of all customer groups are small and medium-sized enterprises as well as sole traders. METRO helps them manage their business challenges more effectively.

MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

How you will make an impact?

Lead Enterprise Data Architect

The role works closely with Enterprise Architecture and Process Excellence along existing landscape and in assessing new initiatives for their fit to data architecture principles.​

Understanding of data protection concepts enables a collaborative way of working with CISO and Legal.​

Your Responsibilities:

• Define and maintain conceptual, logical, and physical data models​;
• Create data architecture frameworks for new platforms and initiatives​;
• Own end-to-end data flow on conceptual and logical level​;
• Co-own the data domain model and actively drive its implementation​;
• Establish standards for data quality, security, and lifecycle management​;
• Work with governance teams to define metadata, lineage, and access policies​;
• Conduct architecture reviews to ensure consistency and reuse across domains​;
• Consult and oversee solution and data architects in relation to adherence to enterprise principles​.
  

Qualifications

Required key competencies and qualifications:

• Bachelors in the domain of computer science.
• Overall 15+ yrs experience and should have minimum 10+ years of experience in the data field (engineering and data architecting);
• Expertise in data modeling, storage, and processing patterns (SQL/NoSQL, lakehouse, warehouse)​;
• Understanding of data governance, privacy, and regulatory requirements (e.g., GDPR);​
• Hands-on experience with cloud-native data architectures (e.g., BigQuery, Snowflake, Azure Synapse);​
• Familiarity with ETL/ELT tools, data mesh principles, and streaming technologies (e.g., Kafka)​;
• Knowledge of metadata management and cataloging tools (e.g., Collibra, Alation)​;
• Experience in senior business stakeholder management​;
• Degree in data management, information systems, or computer science;​
• Very good fluency in English (written and verbal).

This resonates with you? Apply now!