Data Architect

We are currently hiring for a Data Architect, who will be accountable for architecting, enhancing, managing, and supporting a highly available, distributed, cloud data platform for Sysco International business units and enterprise data. 

The Architect will collaborate with the International business units, US architecture team and Sysco 3rd party Vendors to create data solution andl ensure alignment between the international businesses in the deployment of initiatives.

The role will also be the point of escalation for the International technology teams for prioritisation, dependencies, risks and issues. 

The role will form part of the International Business Technology Team and will work closely with all the International business units and 3rd party contractors. The Data Architect will play a key role in Data Platform projects, the implementation of which is critical to the business operations and business-wide transformation projects.

Role Responsibilities:

1. Establish and define application architecture
2. Lead teams to deliver high-quality software and business solutions
3. Ensure architecture standards are maintained to a high quality and adhered to
4. Maintain awareness of the business domain and have a holistic view of business and technology landscape
5. Align engineering team members on technical vision and implementation and lead technical meetings regularly to clearly articulate engineering development status and escalate issues with tasks assigned
6. Review and provide feedback on technical deliverables
7. Operate as a functional lead and subject matter expert for Business Units BT and 3rd party contractors
8. Keep up to date with the latest Technology data solutions 
9. Lead efforts in architecting and maintaining data solutions
10. Whilst not responsible for direct reports, management of third parties and project resource will be required from time to time. Similarly, the role of the Data Architect includes the responsibility to lead and coach other Technical Business resources in the adoption of best practices, techniques and processes concerning data