Architect ( Data Architect)

Overview

With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our locations have earned the #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experience.

Digitalization. Simply delivered.

At IT Services, we are passionate about data analytics , AI and business Intelligence suite. Our [Customer Service Complex Data Solutions] team is continuously expanding. No matter your level of Data Architect proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace #csBI #Teradata #Snowflake

Grow together

Timely delivery of DHL packages around the globe in a way that ensures customer data are secure is in the core of what we do. You will provide second/third level day-to-day operation support, and help investigate and resolve incidents, which were not resolved in lower support levels. Sometimes, issues might get tricky and this is where cooperation on troubleshooting with other IT support teams and specialists will come into play. When it comes to firmware bugs, vulnerabilities and other issues related to our technologies, communicating with our vendors is key.

Ready to embark on the journey? Here’s what we are looking for:

As a Data Architect, having Datawarehouse (database) platform experience and hands on in terms

• Design and implement robust data architecture frameworks that support data intelligence initiatives.
• Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
• Develop, maintain and enhance data models, data flow diagrams, and data dictionaries to ensure data consistency and integrity.
• Oversee and propose solutions on the integration of data from various sources, ensuring data quality and accessibility for analytical purposes.
• Implement and enforce data governance practices to ensure compliance with regulatory requirements and company policies.
• Work closely with data engineers, solution architects, enterprise data architects, and consultants to optimize data pipelines and enhance data processing capabilities.
• Evaluate and recommend tools and technologies for data management and analytics with strong presence of AI , or Agentic AI.
• Monitor data usage and performance, providing insights and recommendations for continuous product improvements.
• Stay updated on industry trends and best practices in data architecture and AI trends.
  
  
  

You are a technology aficionado, therefore you have a good understanding of Teradata, Snowflake, ETL tools ie Matilion, ADF, Generative AI implementations, Machine learning / python is nice to have You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.

An array of benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Annual Leave: 42 days off apart from Public / National Holidays.
• Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
• In House training programs: professional and technical training certifications.