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

Zenoti, Hyderabad, Telangana, India +1

The role

Our enterprise products run across AWS and Azure, built on a mission-critical transactional backbone of .NET, C#, Microsoft SQL Server, and extensive RESTful APIs, with modern interfaces delivered via React and Flutter. As we advance our data intelligence capabilities, we are engineering production-grade Text-to-SQL and Natural Language Query (NLQ) platforms that connect operational systems to cloud lakehouses across Amazon Redshift and Databricks (Delta Lake and Unity Catalog) via high-performance Python and FastAPI microservices.

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8+ years of experience designing, building, and operating enterprise-scale distributed software and cloud systems, demonstrating deep mastery of OOP and modern .NET/C# REST APIs.
Deep expertise in SQL Server (relational schema design, complex joins, views, and aggregations), along with hands-on experience building scalable data pipelines on Amazon Redshift and Databricks (Delta Lake, Unity Catalog), would be a plus
2+ years of dedicated, hands-on production experience navigating the AI development lifecycle, including LLM orchestration, agentic architectures, contextual retrieval, and non-deterministic system evaluation.
Advanced proficiency in Python and FastAPI for developing asynchronous microservices, data validation schemas, and enterprise integration gateways.
Practical experience building Text-to-SQL and NLQ systems, with strong capability in semantic layer architecture and business ontology modelling (metric views, dimensional models, and parameterized functions).
Experience designing conversational UI workflows (intent disambiguation, active parameter filtering, interactive charting, query lineage drawers), with exposure to benchmark products like Databricks Genie, or comparable conversational analytics tools would be a plus.
Proven hands-on solutions engineering acumen, comfortable operating in ambiguous, client-facing environments to translate business goals into working technical architectures and drive rapid delivery cycles.
Strong technical leadership experience, with a track record of mentoring senior engineers, leading delivery pods, and clearly explaining complex technical choices to senior executive stakeholders.
Familiarity with modern frontend frameworks (such as React, Flutter, or Next.js) for delivering responsive data visualization and conversational analytics.
Hands-on familiarity with modern AI-assisted development tools (Cursor, Claude Code, Copilot) combined with the critical engineering judgment needed to audit and validate generated code for enterprise security, accuracy, and scalability.
Bachelor’s or master’s degree in computer science, Software Engineering, Information Systems, or equivalent practical industry experience.

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

The role

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

The role

About Zenoti

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