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.