Lead - AI Data Intelligence (ETL,Azure, SQL, Python, Spark, Data Lakehouse) 7 - 11 years exp from SaaS companies

At Zenoti, the Lead for AI Data Intelligence operates within the product team, focusing on developing advanced data platforms that connect enterprise systems to cloud lakehouses. The role involves leading engineering teams to create conversational data products, including Text-to-SQL and Natural Language Query systems, which enable non-technical users to access complex data effortlessly. The position demands strategic planning, technical expertise, and collaboration with stakeholders to enhance data-driven decision-making.

Daily responsibilities include designing semantic models, building microservices, and deploying APIs that integrate with backend systems like SQL Server and cloud platforms such as Databricks and Redshift. The candidate will also establish AI safety protocols, oversee system observability, and promote modern engineering practices using AI tools. The role requires a blend of leadership, technical mastery, and the ability to translate business needs into scalable technical solutions.

Candidates should possess extensive experience in distributed software systems, cloud data pipelines, and enterprise AI development, especially with SQL Server, Python, and FastAPI. Proven leadership in guiding engineering teams and working directly with business stakeholders is essential. The work can be performed remotely or onsite in Hyderabad, India, and involves engaging with cutting-edge conversational analytics and AI-assisted engineering tools to deliver reliable, scalable data solutions.