Chief DSE Specialist

Remote in Argentina,

DBA & Cloud Migration

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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