Big Data Solutions Architect

1 week ago

Cairo, Cairo, Egypt EJADA Egypt Full time

Job Purpose:

The Big Data Solutions Architect is responsible for designing and implementing scalable, high-performance data architectures that support enterprise analytics, AI, and data-driven decision-making. This role defines the strategy and technical blueprint for ingesting, storing, processing, and integrating large and complex datasets from diverse sources using modern big data platforms and cloud technologies.

The Data Architect collaborates with data engineers, analysts, and business stakeholders to ensure the data ecosystem is secure, reliable, and optimized for speed, volume, and variety, enabling the organization to leverage data as a strategic asset
.

Role and Responsibilities

  • Solid understanding of building blocks of modern data and analytics platform - Data Lakehouse, Data Warehouse, Data Fabric, Data Mesh, Active metadata & etc.
  • Design and implement data architecture solutions for deployment on cloud, hybrid and multi-cloud environments, specifically on Cloudera CDP , Google Cloud Platform preferred
  • Development of end-to-end architecture for data engineering and analytics to support business analysis and decision making
  • Designing, developing high performance and scalable data engineering and BI & advanced analytical solutions
  • Assess current and target architecture, and ensure solutions provided are in alignment with the roadmap
  • Define data architecture, governance, data security/privacy principles and enhance existing principles to meet target architecture
  • Solution design for building DataOps and MLOps platforms
  • Understand and analyze data source systems and design efficient and scalable data pipeline solutions for acquisition and ingestion into Datalake and Data warehouse
  • Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis
  • Solution design for performant and scalable architecture
  • Continuously monitor and improve performance of database design, pipelines and analytics components through performance tuning
  • Design and build metadata and data catalogue for Data and Analytics platform covering technical, operational & business glossary.
  • Design and implement unified active metadata layer across Data & Analytics platform repositories
  • Good understanding of Data modelling processes, techniques - conceptual, logical, physical

Qualifications and Education Requirements

  • Bachelors or master's degree in computer science, Information Technology, or equivalent
  • 7+ years in design & development experience in enterprise data warehousing and analytics projects
  • TOGAF, DAMA or other industry recognized architecture certifications preferred
  • Data engineering, Architecture related certificates
  • Cloud platform certifications, specifically Google Cloud Platform preferred
  • Cloudera CDP platform certifications.

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