SSC HR Solutions
SSC HR Solutions
51 – 200 Employees
ConsultingHealthcareLogistics
SSC HR Solutions is a full-service human resources consultancy founded in 2006. The company helps businesses manage their workforce across the employee lifecycle, from recruitment and employee administration through termination, with services tailored to specific talent-growth needs. Operating across Egypt, the United Arab Emirates, Saudi Arabia, and Bahrain, SSC HR Solutions works with organizations in consulting, logistics, and healthcare to address workforce needs and support sustainable business development.

Senior Data Architect, CVM and Marketing Analytics — Remote in Egypt

Lead the architecture of scalable, governed data platforms for CVM and marketing analytics. Shape batch, streaming, lakehouse, OLAP, and multi-tenant solutions.

Description

  • Lead the data platform’s full technical architecture
  • Define how data is ingested, stored, processed, transformed, served, and governed
  • Build and continuously improve scalable batch and streaming architectures
  • Develop lakehouse designs using open table formats and suitable query engines
  • Design real-time serving and OLAP architectures for analytical workloads
  • Set standards for pipelines, schema evolution, data quality, lineage, and access control
  • Establish architectural patterns for ETL/ELT workflows and data processing
  • Guide the use of Spark, Kafka, Airflow, SQL, and related technologies across the platform
  • Create platforms optimized for scale, performance, cost efficiency, and multi-tenancy
  • Assess architectural trade-offs and communicate technical decisions clearly
  • Create reusable architecture patterns and engineering standards for data teams
  • Support multiple client deployments of the same data platform architecture
  • Contribute to data mesh and data product operating models when appropriate
  • Partner with data engineers and technical stakeholders to ensure standards are implemented consistently
  • Find architectural bottlenecks and improve reliability, scalability, and processing efficiency
  • Define technical strategies for schema management, data governance, and data lifecycle management
  • Design solutions for self-managed and on-premises infrastructure environments

Requirements

  • Demonstrated experience as a Data Architect, Technical Data Architect, or in a comparable senior architecture role
  • Experience owning data platform architecture beyond pipeline development and delivery
  • Strong practical experience with both batch and streaming data processing
  • Deep knowledge of data architecture, ETL/ELT, data warehousing, and lakehouse design
  • Hands-on expertise with Apache Spark, Kafka, Airflow, and advanced SQL
  • Experience designing lakehouse architectures, open table formats, and query engine integrations
  • Experience creating real-time data serving architectures and OLAP data stores
  • Strong grounding in data modeling, schema design, and schema evolution
  • Experience setting standards for data quality, lineage, governance, and access control
  • Experience designing and operating self-managed or on-premises data infrastructure
  • Strong understanding of distributed processing and scalable data platforms
  • Experience designing multi-tenant data architectures and weighing isolation and performance trade-offs
  • 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 understanding of data lifecycle management and platform reliability
  • Ability to establish technical standards and architecture guidance for data engineering teams
  • Strong communication skills for explaining complex architecture decisions and trade-offs to technical stakeholders
  • Experience working closely with data engineers, platform engineers, and other technical teams

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