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Data Architect (Data Warehouse Platforms)

With a global team of 6000+ 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. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

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 Architecture 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.

For any issues related to telecommunication/security systems within the DHL Group environment, you are our superhero. The same applies when it comes to managing, proposing and implementing all necessary changes to production security devices in all IT Services Data Centers and premises, providing global availability to key DHL Group services.

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

As a Data Architect, having data warehouse (database) platform experience and hands on experience as shared below:

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 hands-on experience with Teradata, Snowflake, ETL tools like Matillion and Azure Data Factory (ADF). Having knowledge in Generative AI implementations, machine learning and 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.
Outpatient (unlimited) and inpatient medical coverage for employees.
Personalized flexi benefit plan for you and your family.
Choose any day off from earned public holidays, including Saturdays and ad-hoc holidays to spend with your loved ones.
Modern offices with free parking space.

Great Team

Hi, my name is Pooi Hoe and I'm a team manager. I started my career at DHL IT Services back in 2004, when I took a role as Business Analyst in the DHL Data Warehouse BI team. Gaining more hands-on experience with managing multiple projects across all areas in DHL has always fascinated me, from there, I moved fast through the company ladder and soon landed a Project Manager role. In 2019, I moved to a management role, being Team Manager. Together with the strong support of a multinational & diverse team, we are working on our common ambition – Business Intelligence. Looking forward to having you onboard!

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other protected characteristic.