Senior Technical Lead

Job Description Senior Technical Lead Others, Abu Dhabi Job Summary KEY ACCOUNTABILITIES EXPERIENCE Core Accountabilities • Design, build, and manage enterprise data products and datasets in accordance with data architecture, governance, security, and data-sharing standards. • Develop and maintain scalable data ingestion, integration, and transformation pipelines using batch, real-time, and streaming processing patterns. • Engineer and optimize data solutions across the enterprise data platform, ensuring performance, reliability, scalability, and reusability. • Design and maintain logical and physical data models to support analytics, AI, and business consumption. • Implement data quality, validation, monitoring, and observability frameworks to ensure trusted and reliable data assets. • Administer and support platform services, including orchestration, metadata management, data cataloging, lineage, and access controls. • Develop APIs, data virtualization, and data-sharing services to enable secure and efficient access to enterprise data. • Monitor, troubleshoot, and optimize platform operations, data pipelines, and resource utilization to ensure service availability and operational excellence. • Maintain technical documentation, standards, and operational runbooks to support governance, compliance, and knowledge transfer. • Collaborate with architects, data governance teams, data scientists, and business stakeholders to deliver scalable, governed, and business-aligned data solutions. • Drive automation, innovation, and adoption of modern data engineering practices to continuously improve platform capabilities and user experience. • Support platform upgrades, testing, deployment, and release activities to ensure successful delivery and operational readiness. Supporting Accountabilities • Comply with enterprise data management, information security, governance, and software development policies and procedures. • Participate in audits, compliance reviews, and assessments related to data platform operations and data governance. • Support the preparation of operational, service performance, and data quality reports, as required. • Identify and escalate data quality, security, compliance, and operational risks, recommending corrective actions where appropriate. • Support change, release, and environment management activities across development, testing, and production environments. • Support user onboarding, access provisioning, and knowledge-transfer activities to promote effective adoption of data platform services. • Contribute to continuous improvement initiatives that enhance operational efficiency, automation, and platform maturity Key Responsibilities EXPERIENCE Minimum 10 years in Data Engineering Domain • Experience in UAE or Middle East is desirable EDUCATION • Bachelor's Degree in Information Technology or a related field KEY SKILLS BEHAVIORAL COMPETENCIES • Analytical Thinking & Problem Solving • Accountability & Ownership • Collaboration & Stakeholder Management • Innovation & Continuous Improvement FUNCTIONAL COMPETENCIES • Analysis Data Engineering & Integration Design, development, and optimization of scalable ETL/ELT pipelines, data ingestion frameworks, and data processing solutions. • Data Platform & Architecture Strong understanding of Data Lakehouse architecture, Medallion Architecture, Data Products, Data Modeling, and enterprise data platform best practices. • Data Governance & Security Implementation of metadata management, data lineage, data quality, access control, and governance frameworks to ensure trusted and secure data assets. • Platform Operations & Performance Optimization Monitoring, troubleshooting, automation, capacity management, and performance tuning of data platforms, pipelines, and query engines. Sr Data Engineer (Contractor) – Data & Analytics • Machine Learning Data Engineering and Feature Stores. • Power BI Semantic Models and Analytics Enablement. • Docker and Kubernetes. • Strong experience working with Linux-based operating systems (RHEL, CentOS, Rocky Linux, Ubuntu • Cloud platforms (Azure, AWS, or GCP). • Strong hands-on experience with Cloudera Data Platform (CDP) and modern Data Lakehouse architectures. • Expertise in SQL, Python, and data pipeline development for large-scale data integration and transformation. • Experience with Talend, Apache Spark, Kafka, and Airflow for batch, real-time, and streaming data processing. • Strong knowledge of Trino, Delta Lake/Iceberg, and Delta Sharing for data virtualization, storage, and sharing. • Experience in data modelling, including Dimensional, Data Vault, and Lakehouse modelling techniques, Medallion Architecture and Data Mesh principles. • Hands-on experience with OpenMetadata, Apache Ranger, metadata management, data lineage, and data governance frameworks. • Experience in API integration, data services, and enterprise data product development. • Proficiency in Git, CI/CD, DevOps practices, and performance optimizati

EXPERIENCE Minimum 10 years in Data Engineering Domain. Experience in UAE or Middle East is desirable. EDUCATION Bachelor\'s Degree in Information Technology or a related field.

Design, build, and manage enterprise data products and datasets in accordance with data architecture, governance, security, and data-sharing standards. Develop and maintain scalable data ingestion, integration, and transformation pipelines using batch, real-time, and streaming processing patterns. Engineer and optimize data solutions across the enterprise data platform, ensuring performance, reliability, scalability, and reusability. Design and maintain logical and physical data models to support analytics, AI, and business consumption. Implement data quality, validation, monitoring, and observability frameworks to ensure trusted and reliable data assets. Administer and support platform services, including orchestration, metadata management, data cataloging, lineage, and access controls. Develop APIs, data virtualization, and data-sharing services to enable secure and efficient access to enterprise data. Monitor, troubleshoot, and optimize platform operations, data pipelines, and resource utilization to ensure service availability and operational excellence. Maintain technical documentation, standards, and operational runbooks to support governance, compliance, and knowledge transfer. Collaborate with architects, data governance teams, data scientists, and business stakeholders to deliver scalable, governed, and business-aligned data solutions. Drive automation, innovation, and adoption of modern data engineering practices to continuously improve platform capabilities and user experience. Support platform upgrades, testing, deployment, and release activities to ensure successful delivery and operational readiness.