Data Platform Engineer — Azure, Fabric & Databricks

Collectiv; United States; À distance; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Unlimited time off

100% health insurance for you and your

family

Competitive 401(k) with 4% match

Educational assistance

Tech stipend

Résumé du poste

Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are seeking a data engineer to design, implement, and support modern data platforms using Microsoft Fabric and Databricks, while translating business requirements into scalable technical solutions for clients.

Responsibilities include building ingestion pipelines, developing lakehouse architectures and semantic models, and enforcing CI/CD and code

Qualifications

• Experience designing and implementing data pipelines (ELT/ETL).
• Experience building lakehouse architectures and semantic models for analytics.
• Ability to translate business requirements into scalable technical solutions for clients.
• Familiarity with version control, CI/CD, and code review in data workflows.

Responsabilités

• Build and optimize data ingestion, transformation, and orchestration pipelines.
• Develop scalable lakehouse architectures and semantic models for analytics and self-service BI.
• Apply version control, CI/CD, and code review standards to data engineering workflows.

Connaissances

ELT/ETL

Data pipelines

Lakehouse

Semantic models

CI/CD

Code review

Version control

Client-facing

Outils

Databricks

Microsoft Fabric

Power BI

Description du poste

Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are seeking a data engineer to design, implement, and support modern data platforms using Microsoft Fabric and Databricks, while translating business requirements into scalable technical solutions for clients.

Responsibilities include building ingestion pipelines, developing lakehouse architectures and semantic models, and enforcing CI/CD and code