Job Title

Senior Data Functional Consultant - Fully Remote - 6 Month Contract Role: Senior Data Functional ConsultantClient Location: DubaiWork Location: Fully RemoteDuration: 6 Months extendableMonthly Rate: $2000 USD Our Dubai based client are seeking a proactive and business-oriented Data Functional Consultant with strong experience in Azure Data Factory and Azure Databricks. This role bridges the gap between business stakeholders and technical teams—translating business needs into scalable data solutions, ensuring effective data management, and enabling insights-driven decision-making.The ideal candidate is not a pure developer or data engineer but someone who understands business processes, data flows, and stakeholder priorities, and can help drive value from data platforms using cloud-native Azure services.Experience Required: • Proven exposure to Azure Data Factory (ADF) for orchestrating data workflows.• Practical experience with Azure Databricks for data processing (functional understanding, not necessarily coding).• Strong understanding of data warehousing, data modeling, and business KPIs.• Experience working in agile or hybrid project environments.• Excellent communication and stakeholder management skills.• Ability to translate complex technical details into business-friendly language.• Familiarity with tools like Power BI, Excel, or other reporting solutions is a plus.• Background in Banking, Finance industries is a bonus.Requirements:• Collaborate closely with business stakeholders to gather, understand, and document functional data requirementsTranslate business needs into high-level data design, data workflows, and process improvements.• Work with data engineering teams to define and validate ETL/ELT logic and data pipeline workflows using Azure Data Factory and Databricks.• Facilitate functional workshops and stakeholder meetings to align on data needs and business KPIs.• Act as a bridge between business teams and data engineers to ensure accurate implementation and delivery of data solutions.• Conduct data validation, UAT, and support users in adopting data platforms and self-service analytics.• Maintain functional documentation, data dictionaries, and mapping specifications.• Assist in defining data governance, data quality, and master data management practices from a business perspective.• Monitor data pipeline health and help triage issues from a functional/business impact standpoint.