High-Performing Data Infrastructure Lead
1 week ago
We are seeking a skilled professional to lead the development of scalable, cloud-native data infrastructure that powers fundraising and supporter engagement.
Job Summary:- This role involves designing ML-ready data models, building robust ETL pipelines, and enabling predictive analytics that inform strategic decisions across the organization.
The ideal candidate will have advanced experience with SQL, Python, database management, ETL processes, data modeling, and preparing datasets for AI/ML applications.
Key Responsibilities:- Deliver and maintain a high-performing data warehouse in Google BigQuery to support scalable analytics, AI/ML workloads, and an effective CRM platform.
- Design efficient data models for analytics and ML using SQL and dbt, ensuring efficient storage, transformation, and accessibility.
- Develop and manage ETL pipelines leveraging GCP-native tools and Python to enable reliable data ingestion, transformation, and delivery across platforms.
- Expertise with core GCP services such as BigQuery, Cloud Storage, and Cloud Functions (or similar services on other platforms like AWS or Azure).
- Hands-on experience working with Customer Data Platforms (CDPs) such as Salesforce Data Cloud.
We value diversity and are committed to acting with respect and upholding the human rights, welfare, and dignity of all persons we employ, engage with, or who are affected by our activities and work.
As part of your employment, you will be required to undergo background checks relevant to your position and abide by our safeguarding policies. We encourage you to apply at your earliest convenience.
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