Data & AI Architect

Client of Eram Talent

This role requires a deep understanding of data architecture, data modeling, and AI/ML technologies. The architect will collaborate with cross-functional teams to ensure that the data architecture is robust, scalable, and aligned with the business strategies. This position offers an exciting opportunity to innovate and shape the future of data utilization within organizations.

Responsibilities

• Own enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery.
• Develop and implement a comprehensive data architecture strategy that supports business goals and AI initiatives.
• Design data models, database structures, and data flow processes to ensure data integrity, availability, and security.
• Design and oversee the implementation of advanced analytics solutions, including machine learning models and algorithms.
• Collaborate with data engineering and data science teams to ensure that data pipelines are efficient and aligned with AI/ML requirements.
• Establish best practices for data governance, data quality, and data lifecycle management.
• Support the selection and implementation of data management tools and technologies.
• Engage with stakeholders to understand their data needs and ensure that data solutions deliver maximum business value.
• Monitor trends in the data and AI landscape, refining strategies as necessary to drive continuous improvement and innovation.

Skills:

• Strong knowledge of database systems (SQL and NoSQL) and data warehousing concepts.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Ability to work collaboratively in a team-oriented environment.