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
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Manage the Snowflake platform, including warehouse configuration, database upkeep, resource monitoring, and cost oversight
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Establish user profiles and role assignments, while overseeing RBAC setup, security protocols, and permission frameworks across the system
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Support end users through resolving access-related concerns, addressing query performance issues, and fixing data availability gaps
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Enforce robust governance practices platform-wide to ensure ongoing consistency and adherence to regulatory expectations
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Draft SQL code addressing both DDL requirements and analytical querying tasks
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Utilize and customize established CI/CD pipelines to enable smooth Snowflake deployment operations
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Participate in developing semantic models while contributing to quality assurance and governance initiatives
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Embed AI capabilities within Snowflake operations, with Cortex as the preferred approach
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Collaborate with the client's data architect to construct and broaden the medallion architecture design
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Provide input on data modeling decisions across the bronze, silver, and gold tiers
Requirements
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A minimum of 7 years of practical experience working with Snowflake or a similar platform
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At least 2 years dedicated to leading and overseeing teams
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Sophisticated SQL proficiency, spanning DDL, complex query development, and performance enhancement
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Experience administering Snowflake systems, including RBAC, warehouse oversight, resource monitor configuration, and security implementation
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Hands-on data modeling expertise, including the ability to discuss medallion, dimensional, or vault frameworks and their comparative advantages
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Genuine production-level experience with either dbt or Snowflake Streams & Tasks, extending beyond introductory knowledge
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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
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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
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Direct experience applying AI/LLM technologies within data-focused contexts, with particular emphasis on Snowflake Cortex exposure
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Firm grasp of semantic modeling principles, quality assurance methodologies, and governance structures
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Confidence engaging directly with client-side stakeholders, including architects and permanent employees, without depending on an intermediary team layer
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Excellent English communication skills (B2 level or higher)
Nice to have
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Experience in data analysis to support the generation of insights and informed strategic decisions
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Practical familiarity with Python for tasks involving automation, scripting, or dataset manipulation
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
