The Role
Owns end-to-end technical data architecture, including data ingestion, storage, processing, serving, governance, and platform standards. Designs scalable batch and streaming systems using lakehouse architectures, open table formats, query engines, real-time serving, and OLAP stores. Partners with engineering, product, data, and business teams to deliver reliable production capabilities, manage data quality and lineage, and address performance, scalability, cost, security, and multi-tenancy tradeoffs. Telco or banking experience is required.
Summary Generated by Built In
This is a remote position.
We are looking for a Senior Technical Data Architect to join our team and take ownership of key areas within our technology and data platform. Owns the technical data architecture end to end: how data lands, is stored, processed, served, and governed. Sets the standards the data engineering team builds against.
Key Responsibilities
• Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
• Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
• Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
• Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
• Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
• Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.
Requirements
• 7+ years of relevant professional experience.
• Strong hands-on experience with: Data architecture, ETL, Data warehousing, Spark, Kafka, Airflow, Lakehouse design, SQL.
• Real ownership of data platform architecture, not pipeline delivery alone.
• Hands on across both batch and streaming processing.
• Lakehouse architecture, open table formats, and query engines.
• Real time serving and OLAP stores.
• Standards for pipelines, schema evolution, data quality, lineage, and access control.
• Self managed and on premises infrastructure rather than managed cloud services.
• Has designed for scale, cost, and multi tenancy and can explain the trade offs.
Domain Requirement:
• Telco or Banking is a must
Preferred Qualifications
• Data mesh or data product operating models.
• Experience supporting multiple client deployments of the same platform.
Skills Required
- 7+ years of relevant professional experience
- Strong hands-on experience with data architecture, ETL, data warehousing, Spark, Kafka, Airflow, lakehouse design, and SQL
- Ownership of data platform architecture beyond pipeline delivery
- Hands-on experience with batch and streaming processing
- Experience with lakehouse architecture, open table formats, and query engines
- Experience with real-time serving and OLAP stores
- Experience establishing standards for pipelines, schema evolution, data quality, lineage, and access control
- Experience with self-managed and on-premises infrastructure rather than managed cloud services
- Experience designing for scale, cost, and multi-tenancy and explaining tradeoffs
- Telco or banking domain experience
- Experience with data mesh or data product operating models
- Experience supporting multiple client deployments of the same platform
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The Company
What We Do
Techsa is a Cairo-based software services and development company that builds technology solutions tailored to client needs. Its work combines custom and mobile-app development, IT consulting, and software innovation with IoT/data-management platforms and analytics, including AI/ML-driven analysis. It serves sectors such as water and wastewater, logistics, roads, and property maintenance, and also describes itself as a partner for recruiting, onboarding, and managing software teams.
