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SSC HR Solutions

Senior Technical Data Architect (Telco or Banking)

LocationCairo, Cairo Governorate, Egypt
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentInformation Technology
Company size1,001–5,000 people
PostedSep 29, 2026 · 1w ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
Must have13
7+ years of experience in Data Architecture / Data Engineering
Strong hands-on experience with Data Architecture & Data Warehousing
Strong hands-on experience with ETL
Strong hands-on experience with Apache Spark
Strong hands-on experience with Apache Kafka
Strong hands-on experience with Apache Airflow
Strong hands-on experience with Lakehouse Architecture
Strong hands-on experience with SQL
Strong understanding of batch and streaming processing
Experience with open table formats and query engines
Strong knowledge of data governance, lineage, quality, and access control
Experience designing systems for scale, cost optimization, and multi-tenancy
Telco or Banking experience is mandatory
Nice to have2
Experience with Data Mesh or Data Product operating models
Experience supporting multiple client deployments of the same data platform
Skills
Apache Spark
Apache Kafka
Apache Airflow
SQL
Senior Technical Data Architect
We are looking for a Senior Technical Data Architect to own the technical data architecture end to end, defining how data is ingested, stored, processed, served, and governed across the data platform.
The role is responsible for setting the technical standards and architectural direction that data engineering teams build against, with a strong focus on scalability, reliability, performance, data quality, and maintainability.
Key Responsibilities:
•
Own the end-to-end data platform architecture and define technical standards for data engineering teams.
•
Design and implement batch and real-time/streaming data architectures.
•
Define Lakehouse architecture, open table formats, and query engine solutions.
•
Design real-time data serving and OLAP solutions.
•
Establish standards for ETL pipelines, schema evolution, data quality, data lineage, and access control.
•
Design scalable, cost-effective, and multi-tenant data platforms.
•
Work with self-managed and on-premises infrastructure.
•
Collaborate with data engineering and technical teams to ensure architecture standards are properly implemented.
Requirements
•
7+ years of experience in Data Architecture / Data Engineering.
•
Strong hands-on experience with:
•
Data Architecture & Data Warehousing
•
ETL
•
Apache Spark
•
Apache Kafka
•
Apache Airflow
•
Lakehouse Architecture
•
SQL
•
Strong understanding of batch and streaming processing.
•
Experience with open table formats and query engines.
•
Strong knowledge of data governance, lineage, quality, and access control.
•
Experience designing systems for scale, cost optimization, and multi-tenancy.
•
Telco or Banking experience is mandatory.
Nice to Have
•
Experience with Data Mesh or Data Product operating models.
•
Experience supporting multiple client deployments of the same data platform.
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