Senior Technical Lead
Role Overview
Build and operate enterprise data products, datasets, and platform services for governed business, analytics, and AI use.
Key Skills for This Role
Full Job Posting
Role overview
Build and operate enterprise data products, datasets, and platform services for governed business, analytics, and AI use.
Core responsibilities
- Develop scalable batch, real-time, and streaming ingestion, integration, and transformation pipelines.
- Design and maintain logical and physical data models, data quality controls, monitoring, and observability.
- Administer orchestration, metadata, cataloging, lineage, access controls, APIs, virtualization, and data-sharing services.
- Monitor and optimize platform performance, reliability, scalability, resource use, and operational availability.
- Maintain documentation, standards, and runbooks; collaborate across architecture, governance, data science, and business teams.
- Support platform upgrades, testing, deployment, release, environment management, onboarding, and access provisioning.
- Participate in audits and compliance reviews, report operational and data-quality performance, and escalate risks.
Experience and education
- Minimum 10 years of experience in data engineering.
- Bachelor’s degree in Information Technology or a related field.
- Experience in the UAE or Middle East is desirable.
Technical qualifications
- Strong hands-on experience with Cloudera Data Platform and modern Data Lakehouse architectures; Cloudera Enterprise Data Hub is listed as a must-have skill.
- Expertise in SQL, Python, and large-scale data pipeline development.
- Experience with Talend, Apache Spark, Kafka, and Airflow for batch, real-time, and streaming processing.
- Knowledge of Trino, Delta Lake or Iceberg, Delta Sharing, data modeling, Medallion Architecture, and Data Mesh principles.
- Experience with OpenMetadata, Apache Ranger, metadata management, lineage, governance, API integration, and enterprise data products.
- Experience with Git, CI/CD, DevOps, performance optimization, Linux, Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
Additional accountabilities
Follow enterprise data management, information security, governance, and software development policies.
Contribute to automation, continuous improvement, and platform adoption and maturity initiatives.
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