What are the responsibilities and job description for the Data Architect / Data Mesh Data Modeler / Databricks Architect position at Shimento, Inc.?
Job Details
Database Developer III / Data Architect / Data Mesh Data Modeler / Databricks Architect
Duration:- 12 Month
Location:- Richmond, VA 23219
Qualifications:
Database 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
