Company Description Paragon Shift is a data analytics and AI consulting firm that helps organizations modernize their data foundations, analytics capabilities, and AI readiness. The team focuses on aligning data, analytics, and AI initiatives with real business needs, industry context, and operating realities. Paragon Shift works across the full data lifecycle, from data strategy and modernization to business intelligence, analytics, AI, automation, and managed analytics support. Certified consultants bring executive-level business and technical experience across complex data environments and multiple industries. As trusted advisors, they partner closely with leadership teams to translate data into clarity, confidence, and better decisions.
Role Description The Lead Data Architect is a full-time, hybrid role based in Beirut, with flexibility for partial work from home. The person in this role will design and maintain enterprise data architectures that support analytics, AI, and business intelligence solutions, ensuring that data structures align with business goals and technical standards. Daily responsibilities include defining data models, setting data governance frameworks, guiding data warehousing design, and overseeing ETL processes and pipelines. The Lead Data Architect will collaborate with consulting, engineering, and analytics teams to translate business requirements into scalable data solutions, provide technical leadership and best practices, and ensure solutions perform reliably in production. The role also involves mentoring team members, participating in client workshops, and contributing to architecture roadmaps and standards across engagements.
Qualifications
- Strong expertise in enterprise Data Architecture and Data Modeling, with experience designing scalable, secure, and maintainable data solutions.
- Hands-on experience with Extract Transform Load (ETL) processes and Data Warehousing, including modern cloud-based platforms.
- Proficiency in Data Governance practices, including data quality, metadata management, access controls, and compliance with relevant regulations.
- Solid background in analytics and BI ecosystems, such as relational databases, SQL, and common data platforms (e.g., Azure, AWS, GCP, Snowflake).
- Ability to translate complex business requirements into technical architectures and communicate clearly with technical and non-technical stakeholders.
- Experience leading data teams or initiatives, mentoring colleagues, and establishing architecture standards and best practices.
- Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
- Consulting experience and familiarity with multiple industries are highly beneficial; fluency in English required, additional languages are a plus.