Databricks Senior Solutions Architect _ GenAI focus

📋 Description

• Lead end-to-end data pipelines and GenAI apps on Databricks (RAG, Text-to-SQL).
• Operationalize MLOps/LLMops: CI/CD, model serving, monitoring.
• Tune Spark jobs and LLM inference for efficiency and low latency.
• Advise clients on scalable data and GenAI architecture.

🎯 Requirements

• Spark Mastery: Apache Spark (Python/Scala) and Databricks Lakehouse.
• Performance Engineering: Tune queries, debug distributed systems, optimize for scale.
• Certification: Databricks Certified Data Engineer Professional (or equivalent).
• Applied GenAI: RAG pipelines, agentic workflows, tool-calling LLMs (LangChain/DSPy/HF).
• Model Lifecycle: Prompt engineering, fine-tuning, evaluation metrics.
• MLOps & LLMops: MLflow, model serving, deployment/monitoring of AI apps.
• Engineering Best Practices: CI/CD, unit testing for AI, IaC.

🎁 Benefits

• Diverse projects for growth
• Empowerment and autonomy
• Flexible ways of working
• Balanced life and healthy culture
• Mentoring from day one
• Learning and development opportunities