Data Architect

About us: Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting- edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others.
Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth.
Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
About the Client: Join one of Egypt’s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking.
With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele.
As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
Key Responsibilities: • Design, implement, and optimize data pipelines using both batch and streaming processing frameworks.
• Architect and maintain data lakehouse solutions using Apache Iceberg and object storage such as S3.
• Implement scalable Data Vault and Star Schema models.
• Build and manage real-time ingestion pipelines with Kafka, Spark, or Flink.
• Integrate and orchestrate workflows using tools like Airflow, dbt, NiFi, or Airbyte.
• Enforce data governance, data quality, and access control policies.
• Troubleshoot pipeline performance and reliability issues.
Attractive, market-leading salary package.
Clear career advancement path with professional development opportunities.
One-year contract with Xenon7, presenting a significant opportunity for renewal.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering or backend development.
• Strong background in software engineering and distributed systems.
• Deep understanding of data processing frameworks (Kafka, Spark, Flink).
• Advanced proficiency in SQL and at least one programming language (Python, Java).
• Solid understanding of functional and object-oriented programming principles.
• Proven experience with modern data stack tools (Airflow, dbt, Docker).
• Familiarity with Apache Iceberg, S3-compatible object stores, and Lakehouse architecture.
• Experience with NoSQL databases (e.
g., Cassandra, MongoDB).
• Strong problem-solving skills and ability to debug complex data workflows.