
Data Solutions Architect
- ישראל
- משרה קבועה
- משרה מלאה
- Support sales processes by designing and delivering agile Data and AI projects in collaboration with the account managers, project managers, and delivery managers of AllCloud.
- Design and develop innovative Data and AI solutions tailored to meet customers needs
- Lead strategic discussions, including technical presentations, 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.
- 2+ years of experience as a Software Architect
- 5+ years of experience as a software Developer/ Engineer
- 1+ years of experience in a Pre-Sales and Solution Architect (preference based on AWS cloud Solutions and services)
- 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.
- Working experience with AWS's various eco-system and services - additional cloud environments - an advantage
- Articulate verbal and written communication
- Bachelor's (Master's 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