Related skills
azure aws sql gcp databricks📋 Description
- Lead design of a cloud-native data platform on Databricks.
- Define standards for scalable data models and CI/CD for data ops.
- Mentor engineers to elevate quality and architecture thinking.
- Build reliable, governed data pipelines for analytics and AI readiness.
- Implement ingestion/activation pipelines (API, CDC, batch, events).
- Collaborate with cross-functional teams to support analytical use cases.
🎯 Requirements
- 8+ years of experience in data engineering or data platform development.
- 3+ years designing cloud data platforms (Azure preferred; AWS/GCP ok; Databricks preferred).
- Strong SQL, data modeling, and ELT/ETL frameworks expertise.
- Experience implementing CI/CD and DevOps practices for data engineering.
- Hands-on data governance, metadata management, or catalog tools.
- Experience designing data products with domain-oriented architecture.
🎁 Benefits
- Mentor and guide data engineers to elevate quality.
- Shape long-term platform direction and standards.
- Collaborate cross-functionally with Engineering, Product, Analytics, and Business Systems.
- Work on AI-ready data capabilities and scalable systems.
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