Chief DSE Specialist
We are looking for a Chief DSE Specialist to join our organization. This opportunity is ideal for a technically flexible professional who can comfortably transition among platform management, coding tasks, and architectural planning discussions. You will thrive in a culture that values independent judgment and hands-on collaboration with stakeholders on the client side. This role offers a substantial opportunity to influence the continued growth of a contemporary data infrastructure.
Responsibilities
- Manage the Snowflake platform, including warehouse configuration, database upkeep, resource monitoring, and cost oversight
- Establish user profiles and role assignments, while overseeing RBAC setup, security protocols, and permission frameworks across the system
- Support end users through resolving access-related concerns, addressing query performance issues, and fixing data availability gaps
- Enforce robust governance practices platform-wide to ensure ongoing consistency and adherence to regulatory expectations
- Draft SQL code addressing both DDL requirements and analytical querying tasks
- Utilize and customize established CI/CD pipelines to enable smooth Snowflake deployment operations
- Participate in developing semantic models while contributing to quality assurance and governance initiatives
- Embed AI capabilities within Snowflake operations, with Cortex as the preferred approach
- Collaborate with the client's data architect to construct and broaden the medallion architecture design
- Provide input on data modeling decisions across the bronze, silver, and gold tiers
Requirements
- A minimum of 7 years of practical experience working with Snowflake or a similar platform
- At least 2 years dedicated to leading and overseeing teams
- Sophisticated SQL proficiency, spanning DDL, complex query development, and performance enhancement
- Experience administering Snowflake systems, including RBAC, warehouse oversight, resource monitor configuration, and security implementation
- Hands-on data modeling expertise, including the ability to discuss medallion, dimensional, or vault frameworks and their comparative advantages
- Genuine production-level experience with either dbt or Snowflake Streams & Tasks, extending beyond introductory knowledge
- Working knowledge of CI/CD methodologies, including comfort navigating and modifying established pipelines; Terraform familiarity is advantageous, with a baseline understanding of its function expected at minimum
- Broad development experience in any coding language, be it Python, Java, or JavaScript, reflecting an engineering-oriented approach rather than one limited to query writing
- Direct experience applying AI/LLM technologies within data-focused contexts, with particular emphasis on Snowflake Cortex exposure
- Firm grasp of semantic modeling principles, quality assurance methodologies, and governance structures
- Confidence engaging directly with client-side stakeholders, including architects and permanent employees, without depending on an intermediary team layer
- Excellent English communication skills (B2 level or higher)
Nice to have
- Experience in data analysis to support the generation of insights and informed strategic decisions
- Practical familiarity with Python for tasks involving automation, scripting, or dataset manipulation
