Senior Data Architect

Elad Software Systems specialize in managing and executing end-to-end projects, and offer business solutions in order to help companies strengthen their relationship with end-client and improve the company’s customer experience using impeccable innovative and quality solutions.

We work through three different channels:

Data | CRM | Digital

Our Advantage – As a project driven company that had worked in all possible fields in the market, we’re always at the forefront of technology, employ all methods and know all the available tools. In fact, this allows us to create relevant and tailor-made solutions that can answer any need or challenge you might encounter on your way to reach your business goals.

Our Team – We know exactly why we call our experts the Dream Team; each and every personnel in our staff is a professional in their field, who takes you on a joint process and runs your project from end-to-end. It is important to us to keep researching the field, monitor, process and check in order to produce effective results.

We are seeking an experienced Data Architect with proven development capabilities, in-depth understanding, and expertise in BIG DATA infrastructure projects. Professional qualifications in the field of data infrastructure within the organization are required. The role involves defining the organization's Data vision and ensuring its implementation.

Requirements:

• Minimum 10 years of experience as a Data Architect with a proven track record of implementing advanced architectures and establishing data platforms and data lakes.
• At least 8 years of practical experience in managing complex databases, relational and non-relational (NOSQL/DATALAKE/MPP), including setup, maintenance, performance improvement, load management, availability, backups, etc.
• Proficiency in technologies such as columnar DB, NoSQL databases, predictive analytics, data visualization, and unstructured data.
• Experience in data modeling and database design.
• Experience working in a model development environment and interfaces with data scientists.
• Experience in planning and building architecture for products and infrastructures in the data world.
• Leadership of end-to-end projects and management of technological teams.
• Experience dealing with data storage challenges, historical data management, data security challenges, streaming, and batch processing data transfers.
• Knowledge of software development is a must.
• Experience working with cloud tools and infrastructures is an advantage.

Don't miss out on this amazing opportunity to grow and succeed with us!

Please submit your CV to [email protected]