Pay Rate Range: $75 - $80/Hr Must be a US Citizen/Green Card holder Qualifications: Data Modeler: * Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and federated data governance * Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively * Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration * Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability * Implement data validation rules and data quality checks to ensure data integrity and consistency Data Mesh Data Modeler with Databricks Expertise: * Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks * Lead the design and implementation of data models and data products within the Data Mesh Architecture * Design, implement and optimize Data Pipelines * Design, implement and manage the lifecycle of Data Products General Requirements: * Previous experience in data products modeling within a data mesh architecture * Strong hands-on expertise in Databricks and Spark * Proficiency in SQL and Python * Problem-solving and troubleshooting skills * Strong communication skills Responsibilities: * Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and federated data governance * Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively * Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration * Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability * Implement data validation rules and data quality checks to ensure data integrity and consistency