Overview
Build enterprise data and AI capabilities and lead end-to-end solution design for complex data and analytics initiatives.
What you'll do
- Lead end-to-end solution design for data and analytics initiatives, focusing on scalability, performance, cost, and security.
- Develop and maintain enterprise data models, data pipelines, and integration frameworks.
- Apply AI/ML, automation, and governance to enable data-driven decisions and efficiency.
- Oversee migration of data from legacy systems to new platform/solutions.
- Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
- Collaborate with platform, DevOps, and cloud engineering teams on automation-driven deployments.
What you'll need
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- 12+ years of overall experience in data architectures and analytics solution design/implementation.
- Strong proficiency in cloud data platforms/engineering services using GCP & Snowflake.
- Knowledge of Google Cloud services including BigQuery, Vertex AI, Dataflow, Dataproc, and Looker.
- Knowledge of Snowflake including data warehouse, data sharing, and performance optimization.
- Proficiency with structured and semi-structured data design patterns and data ingestion patterns.
Details
Read the full description and apply on the company’s own careers page.