Data Modeler

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