Senior Data Engineer (Snowflake)

As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.

• Proven experience as a Senior Data Engineer
• Strong hands-on experience with Snowflake (performance tuning, query profiling, optimization)
• Solid experience with dbt
• Very strong SQL skills
• Good programming skills in Python
• Experience building and maintaining scalable ELT pipelines
• Experience with large-scale data processing (e.g. Apache Spark)
• Experience with cloud platforms (AWS preferred)
• Strong understanding of data modeling (especially for analytics / warehouse use cases)
• Ability to design solutions independently and work with ambiguous requirements
• Understanding of trade-offs, scalability, and system reliability

• Design, build, and own scalable, production-grade data pipelines and architectures from scratch
• Develop and optimize ELT processes in Snowflake, integrating data from multiple sources (APIs, databases, external providers)
• Model and maintain well-structured, performant data warehouse solutions in Snowflake
• Ensure data quality, reliability, and robustness
• Collaborate with analysts and stakeholders to translate unclear business problems into scalable data solutions
• Continuously optimize performance and cost (query tuning, warehouse sizing, clustering)
• Build and maintain data services / APIs enabling reliable data access across systems
• Take ownership of solutions in production, including monitoring, debugging, and improvements
• Evaluate and introduce tools (especially within dbt + Snowflake ecosystem) to improve the platform