Software Engineer, Data Platform
About GlossGenius
GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.
About the Role
As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners
You must be commutable to our SF office. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What You’ll Do:
As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.
You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.
Want more jobs like this?
Get Data and Analytics jobs in San Francisco, CA delivered to your inbox every week.

- Design and implement core data models and pipelines that power analytics, ML, and product experiences
- Implement modern data lake orchestration patterns, including medallion architectures
- Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
- Define best practices and technical standards that improve data quality, governance, and performance across teams
- Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
- Shape the long-term technical vision and roadmap for GlossGenius' data platform
What We’re Looking For
- 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
- Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
- Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
- Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
- Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
- Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
- Comfort owning systems end-to-end, including monitoring, reliability, and cost management
- Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially or fully covered by GG
- In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
- Fertility and adoption benefits via Carrot
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office support
The starting base salary for this role in New York and California is between $200,000 - $236,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion