Design Data Architectures on Google Cloud
We're seeking an experienced data architect to design and implement scalable, high-performance data pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, and other GCP services.
The ideal candidate will have hands-on experience with:
* Data modeling (relational, dimensional, and NoSQL)
* Cloud cost and performance optimization
* Machine Learning pipelines (Vertex AI, AI Platform)
* BigQuery, Dataflow, AlloyDB, APIGee
In addition to technical expertise, we're looking for a collaborative team player who can:
* Evaluate data quality, integrity, and security end-to-end
* Maintain data models aligned with business needs
* Collaborate with data scientists, analysts, and software engineers
This role involves working on diverse projects, developing skills through continuous learning and training, and enjoying a dynamic work environment that encourages growth, innovation, and teamwork. We offer competitive salary, benefits, and recognition programs. Our commitment is creating an inclusive culture that respects individuality and promotes diversity. If you're passionate about data engineering, collaboration, and innovation, this role is for you.