Software Engineer, Data Platform
WFA Digital Insight
The demand for skilled data engineers is sky-high as companies transition to data-driven strategies. At GlossGenius, this role sits at the intersection of fintech and SMB software, crucial for transforming business operations for over 100,000 entrepreneurs. As data orchestration becomes increasingly complex, expertise in platforms like Snowflake and Clickhouse is invaluable. Candidates should come prepared not only with technical skills but also an understanding of scalable and quality data practices. Embrace this opportunity with a company renowned for its innovation in empowering small business owners.
Job Description
About GlossGenius
GlossGenius is a rapidly growing fintech and SMB software platform designed to help entrepreneurs focus on creativity rather than administration.About the Role
As a Software Engineer focused on the Data Platform, you will significantly impact our data infrastructure supporting our AI-driven solutions. Your role is critical in developing systems that offer high reliability and support the company’s ambitious goals.Responsibilities
- Develop core data models and pipelines for analytics and product offerings.
- Implement modern data lake orchestration patterns, including medallion architectures.
- Architect a scalable lakehouse using Snowflake and Clickhouse.
- Establish best practices for data quality, governance, and performance.
- Mentor engineers to promote a culture of excellence and continuous improvement.
- Shape the data platform's long-term technical vision.
Requirements
- Strong experience with data modeling and pipeline design.
- Proficiency in Snowflake and Clickhouse.
- Understanding of data governance and optimization practices.
- Proven ability to collaborate across teams to solve complex problems.
Nice to Have
- Experience with orchestration tools.
- Familiarity with machine learning concepts.
Benefits
- Flexible remote work arrangements.
- Collaborative team environment focusing on growth and learning.
How to Stand Out
- Highlight your proficiency with Snowflake and Clickhouse in your application.
- Demonstrate your ability to implement scalable data solutions with specific examples in your portfolio.
- Prepare for technical interviews by reviewing data governance and quality assurance best practices.
- Show your collaborative skills; be ready to discuss past experiences working with cross-functional teams.
- Use the interview to ask about the company's approach to mentorship and ongoing learning opportunities.
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