Data Architect (Snowflake & DBT)

• We are seeking a skilled Data Architect with deep expertise in cloud data warehousing, particularly with Snowflake, and experience building robust data transformation pipelines using DBT (Data Build Tool).
• The ideal candidate will design scalable data architectures, implement best practices for data modelling, and collaborate with cross-functional teams to ensure data quality, accessibility, and security., * Architect and implement scalable, high-performance data solutions using Snowflake and the cloud (AWS/Azure/Google Cloud Platform).
• Design and maintain data models (star/snowflake schemas, data vault, etc.) and data pipelines leveraging DBT.
• Develop, optimize, and document ELT/ETL workflows, ensuring adherence to best practices in data transformation and governance.
• Collaborate with Data Engineers, Analysts, and Business Stakeholders to gather requirements and deliver end-to-end data solutions.
• Establish and enforce data quality, integrity, and security standards.
• Monitor and optimize Snowflake performance, costs, and resource utilization.
• Advise on data architecture strategy, new tools, and process improvements.
• Mentor and guide junior data engineers and analysts on data modelling, transformation, and Snowflake/DBT best practices.
• Stay updated on emerging trends in cloud data warehousing, data modelling, and analytics.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 12+ years of overall work experience and 5+ years of experience in data architecture, data engineering, or similar roles.
• Strong hands-on expertise in Snowflake (data warehouse design, query optimization, security, data sharing, etc.).
• Proficient in DBT (developing models, tests, documentation, deployment, etc.).
• Solid experience with ELT/ETL solutions and orchestration tools (e.g., Airflow, Prefect).
• Proficient in SQL; experience with Python is a plus.
• Experience with BI/reporting tools (e.g., Looker, Tableau, Power BI) is a plus.
• Strong understanding of data modeling techniques and best practices for analytics.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with additional cloud data platforms (e.g., Big Query, Redshift).
• Familiar with data governance, security, and compliance frameworks.
• Exposure to CI/CD tools and practices for data pipelines.
• Experience in Agile/Scrum environments.