Lead, Data Platform

About the RoleWe are seeking a Lead, Data Platform to join our IT & Digital team. In this role, you will be to lead the technical design, development, and maintenance of TAQA Distribution's data platform, ensuring data pipelines, data models, and data storage environments are built to high engineering standards and deliver reliable, high-quality data for analytics, AI/ML, and reporting. The Lead, Data Platform acts as the senior data engineering authority within the data platform team, working under the direction of the Manager, Data Platform to deliver scalable data infrastructure and guiding the Associate, Data Engineering and Sr. Associate, Utility Data Modeler in their technical work.Key ResponsibilitiesLead the design, development, and maintenance of TAQA's data platform infrastructure, including data lake storage (Azure ADLS), data warehouse/Lakehouse compute (Azure Synapse, Databricks, or equivalent), and data ingestion frameworks.Design, build, and optimize complex data pipelines and ETL/ELT workflows using modern data engineering tools (Apache Spark, dbt, Azure Data Factory, or equivalent), ensuring data flows reliably from source systems to the data platform.Lead data modelling activities for the data platform, designing dimensional models, data vault structures, and semantic layer definitions that support accurate and performant analytical consumption.Implement data platform best practices including infrastructure-as-code (Terraform, CloudFormation), CI/CD for data pipelines, data testing frameworks, and data lineage tracking.Monitor data platform performance and data pipeline health, proactively identifying and resolving pipeline failures, data quality issues, and performance bottlenecks.Provide technical guidance and mentoring to the Associate, Data Engineering and Sr. Associate, Utility Data Modeler, reviewing code, setting engineering standards, and building team capability.Collaborate with the data governance team to ensure data platform outputs comply with data quality standards, metadata requirements, and data privacy controls.Apply AI-powered data engineering tools, automated pipeline testing, and intelligent data quality monitoring to improve platform reliability and engineering productivityQualifications & ExperienceEssential Requirements:Bachelor’s degree in information technology or equivalent6 years of relevant working experienceTechnical Competencies:Data Pipeline Development (Apache Spark, dbt, Azure Data Factory)Data Lake & Data Warehouse/Lakehouse Architecture ( Azure ADLS/Synapse, Databricks)Data Modelling (Dimensional, Data Vault, Semantic Layer)DataOps & CI/CD for Data Pipelines (Terraform, GitHub Actions)Data Quality Monitoring & Lineage TrackingAI & Data Engineering Automation Tool ProficiencyStrategic & Business Competencies:Data Platform Architecture AlignmentData Governance & Quality PartnershipStakeholder Communication & Technical DocumentationContinuous Improvement & Engineering ExcellenceWhy Join TAQA Distribution?At TAQA Distribution, you'll be part of a company that powers communities and supports sustainable growth across the UAE. We are committed to creating a workplace where our people can thrive, develop their careers, and contribute to shaping the future of energy and water services.Our employees benefit from:Opportunities for professional growth and career developmentA diverse and collaborative work environmentA strong culture of innovation, safety, and continuous improvementThe chance to contribute to the UAE's sustainability ambitionsAbout TAQA DistributionTAQA Distribution is a subsidiary of TAQA Group and is responsible for the distribution of electricity and water services across Abu Dhabi, Al Ain, and Al Dhafra. Serving millions of customers through an extensive network of infrastructure assets, we are dedicated to delivering reliable, efficient, and sustainable utility services that support the UAE's growth and prosperity.Ready to Apply?Join us in delivering the essential services that power everyday life and help build a sustainable future.Apply now and become part of the TAQA Distribution team.