Lead production-grade customer projects: architecture, data ingestion, ML/AI integration.
Drive end-to-end big data and AI apps: design, build, deploy with customers.
Architect secure, scalable solutions aligned with needs and Databricks best practices.
Collaborate with PMs, Architects, and customers to deliver engagement components.
Embed with customer teams to understand challenges and deliver impact; create reusable assets.
Travel to customers up to 20%.

🎯 Requirements

Extensive experience in data engineering, data platforms, or software engineering.
Proficient in Python, Scala, JavaScript/TypeScript and modern frameworks.
Cloud experience across two ecosystems (AWS/Azure/GCP) with expertise in at least one.
Deep experience with Apache Spark and Spark runtime internals.
Familiar with CI/CD for production deployments.
Knowledge of MLOps, ML/AI models and AI APIs.

🎁 Benefits

Benefits vary by region; details available per region.

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