Forward Deployed Engineer with Databricks & Cursor

About the Role We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor . The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production . The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows , along with excellent problem-solving and client-facing skills. Key Responsibilities Forward Deployed Engineering - Work directly with clients and stakeholders to understand business and technical requirements. - Translate business problems into scalable technical and data solutions. - Rapidly prototype, test, iterate, and productionize solutions. - Collaborate with engineering, data, AI, and delivery teams to implement customer solutions. - Troubleshoot production issues and continuously improve deployed solutions. - Act as a technical bridge between clients and internal engineering teams. Databricks & Data Engineering - Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL . - Build and optimize ETL/ELT and data processing pipelines. - Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows . - Develop data ingestion and transformation pipelines for structured and semi-structured data. - Optimize Databricks workloads for performance, scalability, reliability, and cost. - Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications. Cursor & AI-Assisted Development - Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation. - Effectively use AI coding assistants to understand existing codebases and develop new features. - Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code . - Use AI-assisted development for rapid prototyping and proof-of-concept development. - Work with modern AI/LLM APIs and tools where required for customer solutions. - Stay current with emerging AI-assisted software engineering practices. Production & Deployment - Develop production-ready applications, APIs, and data pipelines. - Work with Git, CI/CD, APIs, containers, and cloud environments. - Monitor application and pipeline performance and resolve production issues. - Ensure solutions meet requirements for scalability, security, reliability, and maintainability. - Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems. Required Skills & Experience - 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field. - Strong hands-on experience with Databricks . - Strong proficiency in Python, PySpark, and SQL . - Experience with Delta Lake and Lakehouse architecture . - Experience building production-grade data pipelines. - Hands-on experience with Cursor or similar AI-powered coding assistants . - Strong understanding of REST APIs and system integrations. - Experience working with cloud platforms such as AWS, Azure, or GCP . - Strong debugging, problem-solving, and analytical skills. - Excellent communication and client-facing abilities. Preferred Skills - Experience with Databricks Unity Catalog, Workflows, and MLflow . - Experience with Generative AI / LLM applications. - Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms . - Experience with RAG, vector databases, embeddings, or AI agents. - Experience with Docker, Kubernetes, and CI/CD. - Experience in a consulting, customer-facing engineering, or professional services environment. - Exposure to Agile/Scrum methodologies. Key Competencies - Strong problem-solving and ownership mindset - Ability to work in ambiguous and fast-paced environments. - Strong client/stakeholder management skills. - Ability to understand business requirements and convert them into technical solutions. - Strong communication and presentation skills. - Ability to rapidly learn new technologies and tools. - Comfortable working with AI-assisted development while maintaining high engineering standards. Education - Bachelor's or master’s degree in computer science , Information Technology, Engineering, Data Science, or a related discipline . Skills:- Databricks., Python and SQL