- Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks and modern cloud platforms.
- Serve as the primary technical leader on strategic enterprise client engagements, partnering with C-suite executives and engineering teams.
- Lead complex legacy platform migrations (e.g., Snowflake, Teradata, Hadoop, SQL Server) onto the Databricks Lakehouse architecture.
- Guide enterprise customers in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
- Partner with account leadership to identify high-value technical use cases to expand Databricks platform usage and ROI.
- Mentor junior Solution Engineers, Architects, and Consultants while contributing to internal code libraries and best practices.
AWSMachine LearningMLFlow+6 more