---
title: 'Lead - AI Data Intelligence (ETL,Azure, SQL, Python, Spark, Data Lakehouse) 7 - 11 years exp from SaaS companies at Zenoti'
canonical: 'https://feeny.ai/job/lead-ai-data-intelligence-etl-azure-sql-python-spark-data-lakehouse-7-11-years-1am91trbj47e'
type: 'job'
last_seen: '2026-10-15'
---

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

- **Company:** Zenoti
- **Location:** Hyderabad, India
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/zenoti/jobs/8004525003

## Job description

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY.

Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com

Lead - AI Data Intelligence

## About 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. In this role, you will act as a technical leader and strategic advisor—partnering directly with business stakeholders to scope high-value analytical workflows, designing governed semantic models and metric ontologies, and guiding engineering pods to build and deploy reliable, conversational data products capable of handling terabytes of data and millions of records with 24x7 enterprise availability.

What will I be doing?

- Lead cross-functional engineering pods to design, build, and deploy production Text-to-SQL and Natural Language Query (NLQ) platforms that enable non-technical business teams to query enterprise data.
- Act as a technical advisor, partnering directly with client stakeholders and business leaders to diagnose operational bottlenecks, scope high-impact use cases, and deliver working solutions.
- Architect governed semantic layers, business ontologies, metric views, and parameter mappings that ground language models in verified business logic.
- Build robust microservices, REST APIs, and event-driven data pipelines connecting .NET/C# and SQL Server backends with modern Python, FastAPI, Databricks, and Amazon Redshift platforms.
- Partner closely with product managers, UI/UX designers, and frontend engineers to build responsive conversational data experiences featuring smart disambiguation, interactive filters, and full query provenance.
- Put in place enterprise AI guardrails, evaluation suites, and observability frameworks (golden test datasets, prompt defence, token-cost tracking) to guarantee safety, data privacy, and reliability in production.
- Champion modern AI-assisted engineering practices (using tools like Claude Code, Cursor, and Copilot) and create reusable engineering assets (prompts, MCP servers, automation templates) to accelerate team velocity.

What skills do I need?

- 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.

Why Zenoti?

- Pioneer innovations revolutionizing the global wellness industry
- Collaborate with a world-class, diverse technical team
- Lead high-impact projects shaping Zenoti's international growth
- Competitive compensation package
- Comprehensive medical coverage for you and your family
- Holistic wellness benefits including yoga, meditation and stress management
- Regular team and social events and community service opportunities

Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

## About Zenoti

## Company Overview
- **One-liner**: Zenoti provides an all-in-one, AI-powered cloud platform for managing operations, marketing, and customer experience in the beauty, wellness, and fitness industries.
- **Entity Type**: Private (funded; Series not specified, but last known valuation $1.5B in 2021)
- **Headquarters**: Bellevue, Washington, USA (Seattle area) with major offices in Hyderabad, India
- **Founded**: 2010
- **Founders**: Sudheer Koneru and Dheeraj Koneru

## Core Business
- **Primary industries**: Beauty and wellness (salons, spas, medspas), fitness centers, and now expanding into gyms.
- **Target customers**: B2B – small-to-large chains, single-location businesses, enterprise multi-location brands (30,000+ businesses across 50+ countries).
- **Mission / purpose**: “Help our Spa, Salon, Medspa and Fitness owners feel good – so their customers feel GREAT.”

## Products & Services
- **Zenoti OS**: The core cloud-based platform integrating booking, POS, CRM, payroll, inventory, marketing, online booking, and sales. Designed for reliability and scale with a 99.9% uptime SLA.
- **AI Workforce**: A suite of AI agents deployed to automate front-office and back-office tasks: AI Receptionist (handles phone calls), Concierge, Lead Manager, Marketer, Scribe, and Dispute Manager.
- **Zeenie**: An AI assistant that automates tasks, generates reports, finds information, and creates marketing content.
- **Predictive analytics / Core ML models**: Slot prediction, demand forecasting, and customer insight tools built on aggregated data from 30,000+ businesses.

## Market Standing
- **Valuation**: $1.5 billion (2021) – [GeekWire article](#)
- **Key Metric**: Annual revenue grew nearly 40% in 2024; company is profitable – [GeekWire article](#)
- **Notable Investors / Partners**: Advent International, TPG, Tiger Global, Steadview Partners, Norwest Venture Partners, Accel Partners (total funding $330M) – [GeekWire article](#)
- **Growth Signals**: Expansion into fitness/gym sector; new executive hires (CFO Sean Blitchok, CCO Steve Hudek, SVP Marketing Doug Sechrist, President/COO Neal Singh); Deloitte Fast 500 revenue growth recognition in 2024 – [GeekWire article](#), [About page](#)

## Competitive Advantages
- **Comprehensive data + AI integration**: Zenoti OS tightly couples end-to-end workflows with rich cross-customer data, allowing AI agents to be highly effective – a moat competitors lack.
- **Industry-specific, cloud-native**: Built from the ground up for beauty/wellness, not a generic ERP; proven with 30,000+ businesses and 50+ countries.
- **High adoption and reliability**: 98% staff adoption within first week of training; 99.9% uptime SLA.
- **Profitable growth**: Unlike many SaaS peers, Zenoti is profitable while still growing rapidly, indicating strong unit economics.

## Strategic Focus
- **AI automation as a growth lever**: Deploying conversational AI (receptionist, lead management) and predictive analytics to help customers increase revenue and efficiency.
- **Adjacent market expansion**: Targeting fitness centers and gyms with a similar enterprise-grade solution.
- **Potential IPO readiness**: CEO stated the company is “capable of going public” but is currently focused on growth and M&A opportunities – [GeekWire article](#)
- **Continued platform investment**: Hiring heavily in product management (Payments, AI Workflows, APIs) and customer success – [Greenhouse job board](#)

## Why Work Here
- **Culture**: Values include transparency, bold action, continuous learning, and “Hold Nothing Back.” Emphasis on diversity, equity, and inclusion with employee resource groups and community partnerships – [Careers page](#).
- **Growth opportunities**: Structured learning, internal mobility, and scaling fast – “your career will too.” Recognition programs and global team collaboration.
- **Work environment**: Cross-functional teams across time zones; offices in Hyderabad, Bellevue, and other global locations. Flexible and remote-friendly work style (implied by distributed teams).
- **Impact**: Work on a platform that powers the world’s best beauty and wellness brands, with a direct impact on customers’ bottom lines. The Zenoti Foundation supports education, wellness, and sustainability.
- **Recognition**: Gold and Silver cybersecurity innovation awards; G2 High Performer ratings – [About page](#)

## Sources
1. [Zenoti.com – AI Workforce and platform overview](https://www.zenoti.com/)
2. [Zenoti Careers page – Culture, DEI, values](https://www.zenoti.com/company/careers)
3. [Greenhouse job board – Open roles and locations](http://job-boards.greenhouse.io/zenoti)
4. [Zenoti About page – Story, awards, global footprint](https://zenoti.com/company/about-us)
5. [GeekWire – AI expansion, funding, revenue, fitness push](https://www.geekwire.com/2025/zenoti-bets-big-on-ai-as-profitable-software-maker-expands-beyond-beauty-sector-and-into-gyms/)

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