We are looking for an experienced solution architect to design and lead modern data platform solutions based on Snowflake and dbt. The ideal candidate will have strong experience in cloud data architecture, analytics engineering, and scalable data platform design.
Key Responsibilities
🔹 Design end-to-end data architectures on Snowflake, including ELT pipelines, data models, security frameworks, and performance optimization.
🔹 Define and implement data transformation and data quality frameworks using dbt.
🔹 Collaborate closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable and maintainable data solutions.
🔹 Establish and oversee best practices for CI/CD, testing, and documentation within the analytics engineering ecosystem.
🔹 Partner with ML engineers and data scientists to design and deploy machine learning solutions running inside Snowflake.
Must-Have Skills
✅ Strong hands-on experience with Snowflake, including data warehousing, performance tuning, security, and cost optimization.
✅ Practical experience with dbt (models, macros, tests, and environment management).
✅ Proven track record of designing data and analytics solutions in cloud environments.
✅ Strong SQL expertise with deep understanding of data modeling and ELT best practices.
Nice-to-Have Skills
⭐ Experience with Data Vault 2.0 modeling.
⭐ Experience with ML workloads in Snowflake (Snowpark, Snowpark ML, external functions).
⭐ Exposure to modern data stack tools and CI/CD for data including Git-based workflows and code reviews.
