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Cloud-Native Data Specialist
3 weeks ago
We are seeking a highly skilled data infrastructure specialist to lead the development of scalable, cloud-native data systems that support fundraising and supporter engagement.
You will design robust data models, build efficient ETL pipelines, and enable predictive analytics that inform strategic decisions across the organization.
- Data Warehouse Development: Lead the development and optimization of a high-performing data warehouse in Google BigQuery to support scalable analytics, AI/ML workloads, and an effective customer relationship management platform.
- Data Modeling: Create structured, performant, and ML-ready data models using SQL and dbt, ensuring efficient storage, transformation, and accessibility.
- ETL Pipelines: Build robust ETL processes leveraging GCP-native tools and Python to enable reliable data ingestion, transformation, and delivery across platforms.
The ideal candidate will have advanced experience with SQL, Python, database management, ETL processes, data modeling, and preparing datasets for AI/ML applications. Additionally, expertise with core GCP services such as BigQuery, Cloud Storage, and Cloud Functions is required.
A strong background in data engineering, excellent problem-solving skills, and the ability to work collaboratively as part of a high-performing team are essential for this role.
