Senior Data & AI Engineer – Snowflake (all genders)
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Data & AI Engineer – Snowflake (all genders) to lead data platform architecture and implementation on Snowflake in Zürich, Switzerland. As a Technical Lead, you will be responsible for the architecture and implementation of modern data platforms on Snowflake – from target architecture to productive operations. Together with business and IT, you will translate business requirements into robust technical solutions and establish Snowflake best practices in your teams.
Responsibilities
- Design and implement modern data platforms on Snowflake
- Translate business requirements into robust technical solutions
- Establish Snowflake best practices in your teams
- Build scalable data pipelines with SQL, Python/Snowpark, and dbt
- Integrate source systems such as SAP, CRM, and streaming data
- Implement GenAI and ML use cases with Snowflake Cortex AI
- Ensure quality and cost efficiency through clean data modeling, governance, role and access concepts, performance, and cost optimization
- Automate deployments with CI/CD and Infrastructure as Code (e.g. Terraform) on AWS or Azure
- Run workshops and PoCs in sales/presales, estimate effort, and help shape proposals
- Coach colleagues and actively build our Snowflake community in the DACH region
Requirements
- Degree in Computer Science, Business Informatics, Data Science, or a comparable qualification, and at least 6 years of experience in data engineering, ideally in consulting
- Several successfully delivered Snowflake projects in a key role, e.g. cross-departmental platforms or migrations from legacy systems (Oracle, Teradata, SAP BW)
- Deep understanding of Snowflake architecture (warehouse sizing, clustering, caching, query tuning, monitoring, and cost optimization)
- Strong SQL and Python skills, experience with dbt and modern data modeling (e.g. star schema, Data Vault)
- Experience with data integration and orchestration of production pipelines (e.g. Airflow, Dagster, Fivetran, or Openflow)
- Hands-on experience with at least one hyperscaler (AWS or Azure) as well as CI/CD and IaC
- Experience with AI/ML use cases, ideally with Snowflake Cortex or Snowpark ML
- Structured, accountable way of working and the ability to explain complex topics clearly to both business and IT stakeholders
- Fluent in German and English
Nice to Have
- SnowPro Certification (Core or Advanced)
- Experience with Coalesce, Apache Iceberg, or Streamlit
- Experience with SAP BW transformations
We Offer
- Snowflake focus with strong backing: As a Snowflake Elite Partner, we offer you direct access to Snowflake, early access to new features, and a growing internal Snowflake community.
- Certifications & learning: We cover the costs for your SnowPro and cloud certifications.
- Projects with impact: You work on data and AI platforms for well-known customers in the DACH region – from strategy to go-live.
- Entrepreneurship as a core value: If you have an idea, you get the space and backing to realize it – from our internal accelerator to new service offerings.
- A team that has your back: Appreciation, short decision paths, and colleagues who enjoy sharing their knowledge. We shape your path together with you.
- Flexible working: Flexible working hours, the option to work from home, and a modern, centrally located office in Zurich where we like to meet – to work, for team days, and to celebrate.
- Growing through networks: Exchange with data & AI experts across the valantic group and within the Snowflake Elite Partner community, which you actively help shape.
About the Company
valantic GmbH is a leading IT service provider in the DACH region, specializing in data and AI solutions. As a Snowflake Elite Partner, we offer our clients direct access to Snowflake, early access to new features, and a growing internal Snowflake community.
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