Senior Data Architect – Semantic Modeling | Databricks, PySpark & SQL | Banking || Saudi Arabia (Only local) || 8+ Years

If this requirement matches to your skill set then please share me your updated resume directlyEmail id: pawan@cognitud.inAbout the jobDomain: IT Services & Consulting Position: Senior Data Architect – Semantic Modeling | Databricks, PySpark & SQL | Banking Experience: 8+ Years Location: Jeddah, Saudi Arabia Your TeamYou are invited to work with a top-tier organization that's been in the game for 50+ years, partnering with some of the world's biggest businesses. As India's largest multinational business group, this enterprise boast a workforce of highly skilled consultants spread across 60+ countries, at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. Your JobKey ResponsibilitiesDesign and develop enterprise semantic data models for AI, analytics, and business consumption.Define and implement business KPIs, metrics, dimensions, hierarchies, and data relationships.Build and maintain semantic and logical data layers to support AI agents, reporting, and advanced analytics use cases.Develop performant SQL-based semantic views and reusable data assets.Collaborate with data engineers to integrate semantic models with data products and enterprise data platforms.Work closely with business stakeholders to translate business requirements into scalable semantic models.Ensure consistency, governance, and standardization of business definitions across data domains.Support AI initiatives by enabling structured and context-rich data consumption for AI and GenAI applications.Optimize data models for performance, scalability, and usability.Contribute to data architecture, data quality, and metadata management best practices.Required Skills & ExperienceTechnical SkillsStrong experience in Databricks, PySpark, and SQL.Experience working with Oracle databases and enterprise data platforms.Deep understanding of semantic modeling, dimensional modeling, and data product concepts.Hands-on experience defining and implementing business KPIs, measures, and metrics.Strong knowledge of relational and analytical data modeling techniques.Experience building semantic layers for BI, analytics, or AI-driven solutions.Familiarity with metadata management, data governance, and business glossaries.Understanding of AI/GenAI use cases and data consumption patterns for AI agents.Preferred SkillsExperience with large-scale data modernization and cloud data platforms.Exposure to RAG, Agentic AI, or enterprise AI solutions.Knowledge of Data Mesh and Data Product operating models.Experience working in Banking and Financial Services environments.

Qualifications

MBA / B.Tech /Any Graduation Skills: Databricks, PySpark, SQL. Oracle databases, semantic modeling, dimensional modeling, and data product