Senior Data Engineer
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Key skills for this role
Role Overview
The Senior Data Engineer will lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse.
The platform will support AI agents, digital workers, knowledge graphs, business intelligence, and analytics.
The role is based in Riyadh and includes technical leadership, secure platform architecture, and client-team mentoring.
Key Skills for This Role
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About Intelmatix
Intelmatix is a deep technology artificial intelligence company founded by MIT scientists in 2021.
The company develops AI and Decision Intelligence capabilities to help enterprises make more accurate decisions.
About the Role
The Senior Data Engineer will lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse.
The platform will support AI agents, digital workers, knowledge graphs, business intelligence, and analytics.
The role is based in Riyadh and includes technical leadership, secure platform architecture, and client-team mentoring.
Key Responsibilities
- Design and deploy a Medallion architecture Data Lakehouse using open table formats on cloud infrastructure hosted in Saudi Arabia.
- Build automated batch and streaming ingestion frameworks for structured and unstructured data.
- Implement data quality circuit breakers and end-to-end data lineage tracking.
- Optimize workflows for performance, scalability, and cost efficiency.
- Monitor data systems, respond to SEVs, and maintain continuous operations.
- Apply NCA and NDMO standards, encryption, key management, and centralized audit logging.
- Deploy granular RBAC and ABAC integrated with enterprise identity providers.
- Lead knowledge transfer, pair programming, runbooks, and failure simulations for client teams.
Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- At least 5 years of experience in Data Engineering, Distributed Systems, or Big Data Architecture.
- At least 2 years leading Data Lakehouse or Cloud Data Platform implementations.
- Strong programming, data architecture, distributed systems, pipeline, database, and cloud platform experience.
- Strong understanding of security, IAM, networking, and cryptographic key management.
- Excellent communication and demonstrated technical leadership abilities.
Technical Skills and Technologies
- Programming languages may include Python, Java, or Scala.
- Distributed technologies include Apache Spark, Kafka, Hadoop, Delta Lake, Apache Iceberg, and Apache Hudi.
- Pipeline and orchestration tools include Apache Airflow, Prefect, and dbt.
- Database experience includes PostgreSQL, MySQL, MongoDB, Cassandra, Hive, and Trino.
- OCI or GCP experience is highly preferred, while AWS or Azure experience is acceptable.
- Experience with ML, NLP, embeddings, knowledge graphs, and Saudi compliance frameworks is desirable.
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