We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.
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.
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
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
This position is open to all candidates.
