Senior Technical Data Architect (Telco or Banking)
SSC HR Solutions Open At a glance
Senior Data Architecture & Governance role at SSC HR Solutions. Remote, Egypt · full-time.
Pay not stated Data Architect salary
remoteroles summary, based on the employer's posting.
What you'll do
- Set the platform’s architecture and technical rules for data engineering teams to build against
- Design data flows for batch and streaming, plus Lakehouse, table-format and query-engine approaches
- Shape real-time data serving and OLAP solutions, with attention to scale, cost and multiple tenants
- Set practices for ETL, schema changes, data quality, lineage and access controls
- Coordinate with engineering teams to put architecture standards into practice across self-managed and on-premises systems
What you bring
- At least seven years working in data architecture or data engineering
- Hands-on capability across data architecture, warehousing, ETL, Spark, Kafka, Airflow, Lakehouse design and SQL
- Knowledge of batch and streaming systems, open table formats, query engines and data governance
- You have designed platforms for scale, cost efficiency and multiple tenants
- Telco or banking experience is required
Who this fits
This senior role suits a hands-on data architect who sets direction and works with engineering teams on implementation. The position is remote and based in Cairo, Egypt.
From the employer
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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