What You Will Do
- Lead the design and development of scalable analytical data models in Snowflake
- Build clean, well-documented datasets using dbt, SQL, and Python
- Translate complex business processes into intuitive data structures
- Implement business logic, derived metrics, and reusable domain data marts
- Establish and evolve data quality standards
- Apply dimensional modeling best practices for usability and performance
- Operate independently from requirements through delivery
- Mentor and guide analytics engineers and analysts
What You Bring
- 7+ years in analytics engineering, data modeling, or transformation work
- Advanced SQL skills and hands-on dbt experience
- Strong understanding of dimensional modeling
- Experience owning analytical domains end-to-end
- Ability to navigate ambiguity and clarify business requirements
- Experience mentoring others
- Experience with Snowflake or modern cloud data warehouses
Why This Role Is Exciting
- High impact, business-facing ownership
- Complex modeling challenges
- Clear influence over data standards
- Strategic partner to both technical and business teams
Top Skills
What We Do
Emburse humanizes work by empowering business travelers, finance professionals and CFOs to eliminate manual, time-consuming tasks so they can focus on what matters most.
Emburse brings together some of the world’s most powerful and trusted expense and AP automation solutions, including Abacus, Captio, Certify, Chrome River, Nexonia and Tallie. The company’s innovative offerings, which are uniquely tailored for specific industries, company sizes, and geographies, are trusted by more than 4.5 million users in more than 120 countries. Over 14,000 customers, from start-ups to global enterprises, including Boot Barn, Grant Thornton, Telefónica, Lufthansa Systems, and Toyota rely on Emburse to make faster, smarter decisions, empower business travelers to recapture lost nights and weekends spent doing tedious expense management, and help make users’ lives -- and their businesses -- better.









