Database Modeler (Data Mesh)

TL;DR

Database Modeler (Data Mesh): Design and implement scalable data models and data products tailored for a decentralized Data Mesh architecture with an accent on Domain-Driven Design and treating data as a product. Focus on leveraging Databricks for data processing, optimizing high-performance pipelines, and implementing federated governance for cross-domain integrity.

Location: Hybrid in San Francisco, CA (94105)

Salary: $156,000–$235,000

Company

Staffing firm supporting enterprise-scale data transformation initiatives.

What you will do

• Lead architectural design and implementation of data models and products in a Data Mesh environment.
• Utilize Databricks for complex data engineering tasks including processing, validation, and orchestration.
• Design and optimize scalable, high-performance data pipelines.
• Implement data validation rules and federated governance standards for data integrity.
• Collaborate with Data Architects and Engineers to translate business requirements into technical solutions.

Requirements

• Proven experience modeling data products in decentralized Data Mesh architecture with Domain-Driven Design.
• Extensive hands-on experience with Databricks and Spark for data engineering.
• High proficiency in SQL and Python.
• Experience in full lifecycle management of data products and optimized pipelines.
• Strong communication skills for technical and business stakeholders.

Nice to have

• Experience with Data Vault 2.0 methodology.
• Proficiency with data modeling tools like ER/Studio.

Culture & Benefits

• For assignments 13+ weeks: major medical, dental, vision, 401k, and statutory sick pay where required.
• Reasonable accommodations for disabilities.
• Equal opportunity employer committed to fair chance hiring.