Senior Snowflake Data Engineer

Join a large-scale cloud data platform transformation project delivered in two phases. The first phase involves assessing the existing Azure and Snowflake environment, including cloud architecture, cybersecurity, data protection, data models, and operational processes, resulting in recommendations and a target-state architecture. The second phase focuses on implementing these recommendations and building a modern, secure, and scalable Snowflake data platform.

• Strong hands-on experience with Snowflake.
• Solid background in Data Engineering and modern data platform design.
• Experience designing data models and building scalable ETL/ELT pipelines.
• Good knowledge of Azure Cloud services.
• Understanding of Snowflake and Azure security principles.
• Experience designing enterprise data architectures and technical solutions.
• Strong stakeholder management and communication skills.
• 6+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
• 3+ years of hands-on experience with Snowflake.
• Proven experience leading enterprise data platform implementations and providing technical leadership across engineering teams.

Nice to have:

• Snowflake Architect certification.
• Experience with dbt, Airflow, and Terraform.
• Knowledge of Data Governance frameworks and best practices.
• Experience working within regulated industries, particularly Financial Services.
• Experience working in Agile delivery environments.

• Design and implement scalable Snowflake architecture and enterprise data solutions.
• Develop and optimize data models, ETL/ELT pipelines, and data processing workflows.
• Design and maintain CI/CD processes supporting data platform development and deployment.
• Select and implement appropriate Snowflake capabilities and platform components based on business and technical requirements.
• Collaborate with business stakeholders to translate functional needs into technical solutions.
• Implement security, governance, and best practices across Snowflake and Azure environments.
• Provide technical leadership and delivery oversight throughout the implementation lifecycle.
• Promote engineering standards, code quality, and scalable platform design.