Data Analytics Architect 49

Description:

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:

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

Requirements:

must have requirements:

• 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.

Advantages:

• 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.

Personality requirements:

• 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.

Main interfaces:

• Reporting to a Team Lead / Department Lead.

• Direct work with business users, additional development teams within the organization, and QA teams.