- מיקום
- כל הארץ
- היקף משרה
- משרה מלאה
- תפקיד
- מהנדס/ת תוכנה
תיאור המשרה
General Summary
Planning, leading, and implementing end-to-end DATA solutions for the organization’s needs.
Leading the organizational data management strategy.
Responsible for planning, designing, and managing data architecture across all stages: data collection, processing, storage, integration, and information consumption.
Job Description
- Planning and leading Enterprise Data Architecture.
- Defining logical and physical Data Models.
- Designing Data Integration processes – ETL/ELT Data Pipelines.
- Selecting, integrating, and implementing Big Data, Data Warehouse, and Data Lake technologies.
- Implementing standards and policies for Data Integrity and data security.
- Working closely with Development, Product, and DevOps teams to define requirements and implement solutions.
- Providing professional guidance and consulting to DATA teams and leading technological innovation initiatives.
- Building and implementing infrastructure supporting Master Data Management, Data Quality, and Data Governance.
- Evaluating, selecting, and implementing advanced DATA technologies, including Cloud, NoSQL, Graph DB, and more.
Job Requirements
1. Education
- Relevant Bachelor’s degree: Information Systems / Industrial Engineering & Management / Computer Science or equivalent %28mandatory%29.
- Advanced degree in Computer Science / Engineering / Mathematics / Information Science %28advantage%29.
- Relevant certifications in Data Engineering %28advantage%29.
2. Experience
- At least 3 years of experience leading DATA Architecture in a medium-to-large organization %28mandatory%29.
- 5 years of experience in Data Management, Data Architecture, or Data Engineering %28mandatory%29.
- Proven experience in designing and implementing Design Patterns, Data Modeling, and ETL/ELT processes %28mandatory%29.
- Hands-on experience with Analytics tools.
- Strong knowledge of relational and non-relational database systems %28such as MongoDB, Elastic, Cassandra%29.
- Experience with AI-based systems, Machine Learning, and Data Science technologies %28advantage%29.
- Experience with data orchestration tools and advanced technologies such as Spark, Kafka, and Hadoop %28advantage%29.
- Practical knowledge of Cloud technologies %28advantage%29.
Additional Requirements
- Languages: Hebrew and business-level English proficiency %28mandatory%29.
Skills
- Excellent interpersonal and collaboration skills, with the ability to work effectively with technical teams, business stakeholders, and management.
- Strong business understanding and the ability to connect business needs with technological solutions.
- Broad system-level perspective.
- Strong capability in designing scalable solutions
