About this role
Must to Have Skill Spark Architecture/ Data modelling. Unity Catalogue. 5-10 Years -Overall . Spark Architecture- 3-5. Data Modelling & Azure Databricks. Good To Have Good Communication Skills , Client Facing role Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data platforms, analytics, and business operations. Good understanding of spark architecture. Collaborate with business stakeholders, architects, engineers, and analysts to translate business requirements into scalable, high-performance data solutions. Establish and enforce data modelling standards, metadata management, and governance practices while ensuring data quality, consistency, and compliance. Leverage tools such as SQLDBM, Erwin, or IBM Data Architect and implement solutions on cloud platforms like Snowflake and Databricks. Drive optimization of data structures, data warehouses, ETL integration, and modern Lakehouse architectures to enhance performance, scalability, and reliability. 5-10 total yrs exp who has 3-5 data modelling exposure and has azure data bricks and spark architecture experience.. preferrable for data engineers who has modelling experience