Role Overview
The role requires a hands-on practitioner who can develop scalable data solutions, challenge existing approaches, validate assumptions, and partner closely with internal data science resources to accelerate adoption of AI-enabled capabilities.
What You Will Do
Design, build, and maintain data architectures, develop and optimize data pipelines, implement data ingestion and indexing strategies, and analyze data to identify trends and actionable insights.
Why It Might Be a Fit
The ideal candidate is an experienced individual contributor who combines deep technical expertise with strong analytical thinking, and is comfortable serving as a thought partner to other data professionals.
Requirements
- 5+ years of experience in Data Engineering, Data Science, Machine Learning, Analytics Engineering, or related fields
- Strong expertise in SQL and modern database design principles
- Experience with Google Cloud Platform including BigQuery, Cloud Storage, Dataproc, Dataflow, or Spanner
- Experience designing data lakes, data warehouses, metadata strategies, and indexing solutions
- Proficiency with Python and common data libraries
- Experience supporting AI, machine learning, retrieval, search, or knowledge management initiatives
- Demonstrated ability to test, validate, and troubleshoot complex data systems
To apply for this job please visit linkedin.com.
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