Description

Silverfort is on a mission to bring identity security everywhere – to every human, machine, and AI agent, both on-prem and in the cloud.

Our unique technology secures identities & access at runtime, in ways that weren’t possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, Silverfort is uniquely positioned to lead the fast-growing identity security category.

Joining Silverfort means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.

As a BI and Data Engineer, you will play a critical role in our BI product development. If you have a background in data engineering and enjoy providing end-to-end solutions, we’d like to meet you.

Responsibilities

• Design and develop scalable data models with efficient data extraction from multiple internal and external sources
• Develop complex ETL/ELT processes and advanced SQL queries
• Translate business requirements into end-to-end BI and data solutions and collaboration with stakeholders, analysts, and senior leadership
• Build and maintain robust end-to-end data pipelines and enrichment processes
• Architect, implement, and optimize data warehouses and data marts to support advanced analytics and reporting
• Serve as the focal point for all data-related matters across the organization
• Monitor and optimize BI systems for performance, scalability, and reliability
• Support and train end-users to maximize the effectiveness and adoption of BI solutions
• Design and develop AI-powered data solutions and intelligent agents leveraging organizational data
• Architect, build, and maintain reports and dashboards to monitor business performance and KPIs
• Architect data pipelines optimized for AI/ML and LLM-based use cases
  
  

Requirements

• 5+ years of experience as a Data Engineer / BI Engineer
• Strong knowledge of data warehouse (DWH) methodologies and best practices
• Design and lead dbt development, establishing modular data modeling, automated testing, version control standards, and performance optimization
• Expert-level SQL and relational database skills, with proven ability to write complex, optimized queries
• Hands-on experience with Snowflake or other analytical databases
• Hands-on experience with Tableau or an equivalent BI tool
• Proven ability to deliver end-to-end solutions from business requirements to production
• B.Sc. degree in Information Systems Engineering, Industrial Engineering, Software Engineering, Computer Science, or equivalent practical experience
• Strong analytical mindset with a proactive “make it happen” attitude
• Familiarity with orchestration frameworks (e.g., Airflow) – advantage
• Experience integrating AI solutions into production environments – advantage