Data Architect – BI Team Technical Lead
Full Job Posting
Qualifications
- A university degree in computer science or approved equivalent combination of education and experience.
- Expert Knowledge of modern data warehouse & data Lakehouse design and build.
- Extensive knowledge and proven experience with relational SQL, NoSQL databases, and cloud based data storage and data architecture.
- 8–12 years of hands-on experience in Business Intelligence and analytics
- Demonstrated experience development of logical and physical design documents for different types of data models, solution architecture, and training materials.
- Expert knowledge of workload optimization, query performance, schema optimization and data engineering optimization best practices and methods
- Demonstrated experience in defining and executing tests across the development lifecycle (unit testing, system testing, user acceptance testing) and using results to refine database design.
Must Have:
- 8+ years experience working with enterprise data warehouses Demonstrated experience in creating both Functional Design Documents (FDD) & Detailed Design Documents (DDD).
- Strong hands-on experience with BI platforms (Oracle 12c, ODI, OAS and Power BI)
- Strong experience in data architecture, data modeling, semantic layer and KPI design.
- Proven experience leading BI or analytics teams
- Bilingual Arabic and English languages
Responsibilities
- Architect, design and implement on-prem and on-cloud modern data platforms, RDBMS, operational data store (ODS), data marts, data warehouse, data Lakehouse and cloud storage.
- Lead the design, development, and deployment of data ingestion, data pipelines and ETL/ELT based data solutions. Translate business analytics requirements into technical requirements.
- Define solution architecture, design, governance, tools, and prepare technical documentation.
- Drive standards across the project, establish appropriate procedures for data modelling, data ingestion, and data products design, development and deployment.
- Manage work products versioning, contribute to and publish model management standards and practices for all types of data models including conceptual, logical and physical data models.
- Support pre-sales effort, provide proposal inserts for solution architecture design and writeup.
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