Engineer

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems.
• Serve as the primary technical leader on strategic enterprise client engagements.
• Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions.
• Lead complex legacy platform migrations, including Snowflake, Teradata, legacy Hadoop, and SQL Server, onto Databricks Lakehouse architecture.
• Guide enterprise customers in Healthcare, Retail, Financial Services, and other industries in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
• Identify high-value technical use cases across client business units, expand Databricks platform usage, and drive measurable client ROI.
• Mentor and coach junior Solution Engineers, Architects, and Consultants.
• Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices.

Explore Forward Deployed Engineer at RevStar. Review requirements and application details.