- Advise enterprise customers as a trusted technical partner and understand their business and technical requirements.
- Translate customer requirements into scalable data architectures.
- Design and implement Lakehouse and Data + AI architectures using Databricks.
- Develop and guide proofs of concept, technical workshops, and architecture demonstrations.
- Design scalable data ingestion, transformation, and processing pipelines.
- Integrate Databricks with AWS, Azure, or GCP cloud platforms.
- Troubleshoot performance, scalability, reliability, and data pipeline issues.
- Create reference architectures, technical documentation, and implementation guidance.
- Support production deployment and adoption of Databricks solutions.
- Conduct technical workshops, enablement sessions, and knowledge-sharing activities.
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