Data Engineer (Snowflake)

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You’ll be working hands-on with Snowflake and dbt — designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders.

This is a delivery-oriented role with real ownership. You’ll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions.

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt.
• Contribute to the design and implementation of scalable data architecture covering raw through semantic data layers.
• Support modernization of existing Oracle-based ETL and reporting processes.
• Investigate and address data performance, consistency, and reconciliation challenges.
• Develop and maintain data processing, transformation, and automation solutions using Python.
• Participate in solution design discussions and contribute to architectural decisions.
• Support DevOps-related activities including deployment, configuration, and operational aspects of the data platform.
• Take ownership of assigned technical components and deliverables within the team.
• Participate actively in client-facing technical discussions and project meetings.
• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.

Solvd is an equal opportunity employer.

• Strong hands-on experience with Snowflake — data transformation, modeling, and performance optimization.
• Solid understanding of data modeling principles, data architecture, and scalable data solution design.
• Practical experience with dbt for developing and maintaining data transformation workflows.
• Proficiency in Python for data engineering, scripting, and automation.
• Experience with ETL/ELT processes and modern data pipeline development.
• Familiarity with DevOps practices and containerized environments including Kubernetes.
• Strong analytical and troubleshooting skills around data quality, performance, and reconciliation.
• Good communication skills — able to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams.
• English proficiency sufficient for regular technical discussions with US-based teams.
• Experience with Oracle databases, Oracle ETL, and legacy reporting environments.
• Prior involvement in data platform modernization or migration from Oracle to Snowflake.
• Experience with Power BI and semantic reporting models.
• Snowflake professional certification.
• Experience designing and optimizing analytical data models for enterprise reporting.
• Experience working with distributed, cross-functional engineering teams.
• Background in insurance, reinsurance, or financial services.
• Availability for occasional business trips to St. Louis, USA — approximately once every three weeks for one to two days.