Senior Data Architect - CVM & Marketing Analytics

3 hours, 14 minutes ago
Senior
Data Science and Analytics
SSC Egypt

SSC Egypt

SSC Egypt offers a wide range of human resources services and outsourcing solutions, focusing on employee management throughout the entire employment lifecycle, to support businesses in Saudi Arabia and the GCC region.

IT Services
11-50
Founded 2006

Description

  • Own the end-to-end technical architecture of the data platform.
  • Define architectures for data ingestion, storage, processing, transformation, serving, and governance.
  • Design and evolve scalable batch, streaming, lakehouse, real-time serving, and OLAP architectures.
  • Establish standards for pipelines, ETL/ELT workflows, schema evolution, data quality, lineage, access control, and lifecycle management.
  • Guide the use of Spark, Kafka, Airflow, SQL, open table formats, and query engines.
  • Design platforms supporting scalability, performance, cost efficiency, multi-tenancy, and multiple client deployments.
  • Evaluate architectural trade-offs and communicate technical decisions to stakeholders.
  • Define reusable architecture patterns and engineering standards for data teams.
  • Design architectures for self-managed and on-premises infrastructure.
  • Identify bottlenecks and improve platform reliability, scalability, and data processing efficiency.
  • Support data mesh and data product operating models where appropriate.
  • Collaborate with data engineers, platform engineers, and technical stakeholders to implement architectural standards.

Requirements

  • Proven experience as a Data Architect, Technical Data Architect, or in a similar senior data architecture role.
  • Experience owning data platform architecture beyond pipeline development and delivery.
  • Strong hands-on experience with batch and streaming data processing.
  • Strong knowledge of data architecture, ETL/ELT, data warehousing, and lakehouse design.
  • Hands-on experience with Apache Spark, Kafka, Airflow, and advanced SQL.
  • Experience with open table formats, query engine integrations, real-time data serving, and OLAP data stores.
  • Strong understanding of data modeling, schema design, and schema evolution.
  • Experience defining data quality, lineage, governance, access control, and lifecycle standards.
  • Experience designing distributed, scalable, multi-tenant, self-managed, or on-premises data platforms.
  • Ability to assess architecture decisions across scalability, performance, reliability, operational complexity, and cost.
  • Experience supporting multiple client deployments of one data platform is highly desirable.
  • Familiarity with data mesh and data product operating models.
  • Strong communication and collaboration skills with technical stakeholders and engineering teams.

Interested in this position?

Apply directly on the company website

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