The AI Data Architect will design scalable data architectures and platforms aligned with business objectives. They will also lead the implementation of data governance, security, and quality best practices.
SDG Group
8 Remote Job Openings at SDG Group
Lead the design and evolution of the Enterprise Data Model and Data Domain Map to transform complex business processes into clear information models. Collaborate with stakeholders and technical teams to implement semantic standards and ensure alignment between data architecture, governance, and quality.
Lead end-to-end implementations of financial consolidation systems and mentor the professional development of the CPM team. Translate complex business needs into technical designs and contribute to the creation of commercial proposals for clients.
Design and develop advanced BI solutions in Looker Studio, focusing on data modeling, interactive visualizations, and actionable insights. Implement and optimize data connectors and BigQuery queries to ensure high-performance reporting and data integrity.
Design and lead the architecture of scalable cloud-native solutions using microservices and event-driven patterns. Mentor the technical team and integrate AI tools into the software development lifecycle to improve engineering standards.
Design scalable and resilient data architectures aligned with strategic business goals and define standards for data management and integration. Lead the definition of modern data platforms while promoting DataOps culture and ensuring governance, security, and operational efficiency.
Design and develop advanced Looker Studio solutions using data modeling, calculated metrics, and interactive visualizations to generate actionable insights. Implement and optimize data connectors and maintain data integrity while collaborating with teams to translate client requirements into technical solutions.
You will develop end-to-end AI solutions, participating in the entire lifecycle from understanding business problems to deploying and monitoring models in production. You will also design and develop robust ML pipelines and architectures while mentoring teams and interacting with clients to translate their needs into impactful AI solutions.
