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Strong employer brand and metro location increase competition, offset by niche Databricks/GenAI senior specialization.
Role requires deep Databricks and GenAI platform expertise, limiting cross-industry transferability.
Explicit 8–11 years plus many mandatory Databricks, DLT, Unity Catalog, MLflow skills.
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Lead design and implementation of GenAI-enabled data and AI solutions using Databricks, Mosaic AI, LLMs, RAG pipelines, and AI agents.
Own end-to-end scalable production-grade data pipelines and governance using Databricks technologies including Delta Live Tables and Unity Catalog.
Ensure production stability, monitor performance, lead technical delivery, and mentor engineering teams in an Agile environment.
8-11 years of experience in software engineering or relevant data platform roles.
Deep hands-on experience with Databricks (PySpark, SQL, Delta Lake) and large-scale production data pipelines.
Proven expertise with Delta Live Tables, Unity Catalog for data governance, MLflow, and GenAI data solutions involving LLM and RAG pipelines.
Experience working with vector databases, Spark performance tuning, cloud data platforms (AWS preferred), and production operations.
Senior-level engineer with expertise in enterprise-scale AI-enabled data platforms combining Databricks and Mosaic AI technologies.
Experienced leader capable of influencing architecture decisions and managing cross-functional collaboration with architects, data scientists, and business stakeholders.
Demonstrated ability to deliver governed, scalable, and reliable AI data solutions while mentoring junior staff and driving technical best practices.