Lead Enterprise Data Architect

Company Description Metro Global Solution Center MGSC is internal solution partner for METRO a EUR31 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 cafes 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 Dusseldorf 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 The Lead Enterprise Data Architect co-owns the data architecture principles of METRO and aligns them to the enterprise data strategy They drive the principles towards business stakeholders to ensure effective establishing of data domains and are on the fore-front of communicating the value of data to the organization to ensure commitment and buy-in to principles and standards 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