We are looking for a Solution Architect to design and lead modern data platform solutions based on Snowflake and dbt. Responsibilities:
- Design end-to-end data architectures on Snowflake (ELT data models security performance).
- Define and implement data transformation data quality frameworks using dbt.
- Collaborate with data engineers analysts and business stakeholders to translate requirements into scalable solutions.
- Oversee best practices for CI/CD testing documentation in the analytics engineering stack.
- Partner with ML engineers / data scientists to design and deploy ML solutions running inside Snowflake.
Must-have:
- Strong hands-on experience with Snowflake (warehousing performance tuning security cost optimization).
- Practical experience with dbt (models macros tests environments).
- Proven track record designing data/analytics solutions in a cloud environment.
- Solid SQL skills and understanding of data modelling and ELT best practices.
Nice-to-have:
- Experience with Data Vault 2.0 modelling.
- Experience with ML workloads in Snowflake (e.g. Snowpark Snowpark ML external functions).
- Background in modern data stack tools and CI/CD for data (Git-based workflows code reviews)
We are looking for a Solution Architect to design and lead modern data platform solutions based on Snowflake and dbt. Responsibilities: Design end-to-end data architectures on Snowflake (ELT data models security performance). Define and implement data transformation data quality frameworks using db...
We are looking for a Solution Architect to design and lead modern data platform solutions based on Snowflake and dbt. Responsibilities:
- Design end-to-end data architectures on Snowflake (ELT data models security performance).
- Define and implement data transformation data quality frameworks using dbt.
- Collaborate with data engineers analysts and business stakeholders to translate requirements into scalable solutions.
- Oversee best practices for CI/CD testing documentation in the analytics engineering stack.
- Partner with ML engineers / data scientists to design and deploy ML solutions running inside Snowflake.
Must-have:
- Strong hands-on experience with Snowflake (warehousing performance tuning security cost optimization).
- Practical experience with dbt (models macros tests environments).
- Proven track record designing data/analytics solutions in a cloud environment.
- Solid SQL skills and understanding of data modelling and ELT best practices.
Nice-to-have:
- Experience with Data Vault 2.0 modelling.
- Experience with ML workloads in Snowflake (e.g. Snowpark Snowpark ML external functions).
- Background in modern data stack tools and CI/CD for data (Git-based workflows code reviews)
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