- Assess the current data architecture and identify risks, limitations, and improvement areas.
- Define a scalable target-state data architecture that supports business growth and expansion through new subsidiaries.
- Address architectural dependencies and eliminate existing single points of failure.
- Define and improve data quality standards and data modeling practices.
- Evaluate cloud, on-premises, and hybrid architecture options.
- Design data warehouse and broader data platform solutions.
- Support data governance initiatives from an architectural perspective.
- Define and support REST API-based integrations and work with Microsoft SQL Server-based data environments.
- Conduct the initial architecture assessment and support implementation and testing during the delivery phase.
- Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle.