Data Architect

Description

Responsibilities

• Support sales processes by designing and delivering agile data and AI projects in collaboration with the account managers, project managers, and delivery managers.
• Lead strategic discussions with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
• Own the technical solutions for data, analytics, AI, and ML projects.
• Build POCs for customers (hands-on).
• Deliver top-quality design and architecture documents to our customers.
• Build and control training plans for the team members towards new technologies required for future projects.

Requirements

• 5+ years of experience as senior Data engineer and or Data Architect
• Ability to translate business challenges into technical solutions
• Excellent customer-facing skills
• Hands-on experiences with AWS Data Cloud Services
• Experience supporting and working with external customers in a dynamic environment
• A team player who can efficiently collaborate with C-Level, developers, and sales teams
• Hands-on attitude and experience in system design, PoC, and integration using cloud and other web services and APIs
• Working experience with DB technologies (SQL, non-SQL), Data analytics, AI and ML
• Deep understanding of ETL, ELT processes
• Experience in functional and scripting languages: Python, Scala, etc.
• Proven experience in technical leadership of small and large-scale cloud data projects
• Snowflake knowledge is an advantage
• Working experience with AWS's various eco-system and services - additional cloud environments - an advantage
• Articulate verbal and written communication
• Bachelor's (Master preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
• Proven curiosity and ability to quickly self-learn
• Fluency in Hebrew and English is essential