Data Analytics Architect 49

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer.

We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies.

This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes.

A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote.

Key Responsibilities:

• Design and develop data architecture that supports large-scale analytics and business intelligence.
• Lead the design and implementation of complex data models and enterprise data modeling solutions.
• Define organizational standards, methodologies, and best practices in the data domain.
• Optimize database performance, analytical queries, and reporting processes.
• Lead LLM-based development and implement AI tools within data engineering processes.
• Mentor data engineers, conduct code reviews and architecture reviews.
• Collaborate with management and business stakeholders to build a technological roadmap.
• Establish frameworks for data quality and data governance.
• Lead initiatives to improve the reliability and stability of BI and analytics systems.
• Evaluate new technologies and lead the adoption of innovative solutions across the organization.
• Lead the design and implementation of end-to-end analytics platforms.
  
  

• Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience.
• At least 5 years of experience in Data Engineering, with a focus on Analytics and BI.
• Expert-level SQL skills.
• Deep experience with PostgreSQL, including performance tuning and optimization.
• At least 3 years of experience with Python for data processing, automation, and testing.
• At least 3 years of experience designing and implementing large-scale data models.
• Experience leading performance optimization in complex data systems.
• Experience establishing and implementing Data Governance and Data Quality processes.
• Proven ability to translate business requirements into data architecture and technological solutions.
• Experience providing technical leadership, mentoring, and leading technological initiatives.
• Experience building Data and Analytics platforms from scratch.
• Proven experience integrating AI and LLM tools into development and data engineering processes.
  
  

• Experience in FinTech or financial organizations.
• Deep familiarity with regulation, information security, and compliance requirements.
• Experience working with Data Lakes and Data Warehouses.
• Experience with orchestration tools and ELT / ETL processes.
• Experience working in cloud environments such as AWS, GCP, or Azure.
• Familiarity with streaming technologies and real-time data processing.
• Experience leading technology teams or professional excellence groups.
  
  

• Fast learning ability and curiosity for new technologies and methodologies.
• Strategic thinking and broad system-wide perspective.
• Ability to lead and influence without formal authority.
• Ability to work independently and manage multiple tasks simultaneously.
• High personal responsibility and ability to receive professional feedback.
• Initiative, creativity, and ability to solve complex problems.
• High motivation and constant drive for excellence.
• Excellent interpersonal communication skills and ability to work with multiple stakeholders.
• Ability to drive organizational change and lead technological innovation.
  
  

• Reporting to a Team Lead / Department Lead.
• Direct work with business users, additional development teams within the organization, and QA teams.