AI Data Intelligence
Posted 1 Oct 2026
Advertised as “Lead - AI Data Intelligence (ETL,Azure, SQL, Python, Spark, Data Lakehouse) 7 - 11 years exp from SaaS companies”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
No salary listed for this role.
Field of studyComputer Science, Information Systems, Software Engineering (or related)
Study levelBachelor's or higher
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?
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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.
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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.