Senior Manager Data Engineering

Expect more. Connect more. Be more at Diebold Nixdorf. Our teams automate digitize and transform the way more than 75 million peoplearound the globebank and shop in thishyper-connected consumer-centric world. Join us inconnecting people to commerce in this vital rewardingrole.

Provides leadership across Data Engineering data platform architecture and enterprise data modernization. Designs develops and evolves scalable approaches for how data is ingested stored transformed governed integrated and consumed across the organization.

Partners with Data Engineering Analytics AI Architecture Security and business teams to establish modern engineering standards and data architectures. Brings strong experience with cloud data platforms including Microsoft Fabric medallion architecture semantic layers ontology metadata knowledge graphs and data governance.

• Provide technical leadership across Data Engineering and data platform architecture.

• Work with business and technology stakeholders to understand objectives and define scalable data architectures.

• Define standards for data ingestion ETL/ELT transformation storage integration and consumption.

• Establish modern lakehouse and medallion architecture patterns for enterprise data platforms.

• Partner with Data Engineering teams to improve engineering practices platform capabilities reliability and performance.

• Establish and advance data governance practices across data quality lineage metadata access retention and lifecycle management.

• Develop semantic layer ontology and knowledge graph capabilities to improve consistency and usability of enterprise data.

• Identify opportunities to apply new technologies and processes that improve scalability efficiency and business value.

• Bachelors Degree or equivalent work experience required.

• 8 to 10 years of experience in Data Engineering Data Architecture or Data Platforms with 2-4 years of leadership experience.

• Strong knowledge of cloud data platforms lakehouse and medallion architecture ETL/ELT data modeling and data governance.

• Experience with Microsoft Fabric Azure data services OneLake or comparable modern data platforms.

• Understanding of semantic layers metadata management ontology and knowledge graph concepts.

• Fluent written and verbal English communication skills.