Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Allcloud Data Architect 
Israel 
911911304

Today

Responsibilities

  • 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.
  • 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