Senior DSE Specialist

We are looking for a Senior DSE Specialist to join our team. This role is well suited for a technically versatile professional who is comfortable moving between platform administration, development, and architecture discussions. You will work in a setting that values independent thinking and direct engagement with client stakeholders. This is a great opportunity to contribute meaningfully to the evolution of a modern data platform.

Administer the Snowflake instance, including warehouses, databases, resource monitors, and cost management Provision users and roles while managing RBAC, security, and permissions across the platform Support end users by troubleshooting access issues, query performance concerns, and data availability problems Maintain a strong governance posture across the platform to ensure consistency and compliance Write SQL for both DDL and analytical querying purposes Use and modify existing CI/CD pipelines to support Snowflake deployments Contribute to semantic model development, quality assurance, and governance practices Apply AI capabilities within Snowflake, with a preference for leveraging Cortex Partner with the client's data architect to implement and extend the medallion architecture Contribute to data modeling decisions across bronze, silver, and gold layers A minimum of 3 years of relevant experience working with Snowflake or a similar technology Strong SQL skills, including DDL, complex query writing, and performance tuning Experience with Snowflake administration, including RBAC, warehouses, resource monitors, and security configuration Data modeling experience, with the ability to discuss medallion, dimensional, or vault approaches and their trade-offs Production experience with either dbt or Snowflake Streams & Tasks, beyond basic familiarity CI/CD experience, with comfort working within and modifying existing pipelines; exposure to Terraform is a plus, and at minimum, a clear understanding of its purpose is expected Some development background in any language, such as Python, Java, or JavaScript, reflecting a developer mindset rather than a purely SQL-focused approach Experience applying AI/LLM capabilities in a data context, with strong preference given to Snowflake Cortex experience Solid theoretical grounding in semantic model development, quality assurance, and governance Comfort working directly with client stakeholders, including architects and full-time employees, without an intermediary scrum team buffer Excellent English communication skills (B2 level or higher) Experience with data analysis to support insight generation and informed decision-making Familiarity with Python for scripting, automation, or data manipulation tasks