Lead production-grade solutions; design reference architectures and data ingestion.
Guide end-to-end big data projects including AI app deployment.
Architect secure, scalable solutions aligned with customer needs.
Embed with customer teams to understand challenges and deliver impact.
Create reusable accelerators, frameworks, and best practices for scale.
Collaborate with Databricks teams to ensure successful delivery.

🎯 Requirements

6+ years in data engineering, data platforms, analytics, or software engineering.
Proficient in Python, Scala, JavaScript and TypeScript.
Experience with two cloud ecosystems (AWS, Azure, GCP) and at least one.
Deep experience with Apache Spark; Spark runtime internals.
Familiar with CI/CD for production deployments.
Knowledge of MLOps, ML/AI models and AI APIs.

🎁 Benefits

Comprehensive benefits and region-specific programs.
Pay transparency and regional compensation information.
Commitment to diversity and inclusion.

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