We are seeking a Lead DSE Specialist to become part of our team. This position is a strong match for a technically adaptable individual who feels at ease shifting between system administration, hands-on development, and architectural conversations. You will operate in an environment that prizes self-directed problem-solving and close interaction with client-side stakeholders. This role presents a meaningful chance to shape the ongoing development of a modern data ecosystem.
Responsibilities
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Oversee the Snowflake environment, covering warehouses, databases, resource monitors, and expense tracking
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Set up user accounts and roles while handling RBAC configuration, security settings, and permission structures throughout the platform
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Assist end users by diagnosing access problems, query performance bottlenecks, and data availability challenges
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Uphold rigorous governance standards across the platform to guarantee consistency and regulatory alignment
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Compose SQL statements covering both DDL work and analytical query needs
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Leverage and adjust existing CI/CD pipelines to facilitate Snowflake deployment processes
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Play a role in building semantic models, along with supporting QA and governance efforts
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Integrate AI functionality into Snowflake workflows, ideally through Cortex
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Work alongside the client's data architect to build out and expand the medallion architecture framework
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Weigh in on data modeling choices spanning the bronze, silver, and gold layers
Requirements
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At least 5 years of hands-on experience working with Snowflake or a comparable platform
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A minimum of one year spent guiding and managing teams
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Advanced SQL capabilities, covering DDL, intricate query construction, and performance optimization
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Background in administering Snowflake, encompassing RBAC, warehouse management, resource monitors, and security setup
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Practical data modeling knowledge, including the capacity to weigh in on medallion, dimensional, or vault methodologies and their respective trade-offs
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Real-world production experience with either dbt or Snowflake Streams & Tasks, going beyond surface-level exposure
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Familiarity with CI/CD practices, including ease in navigating and adapting pre-existing pipelines; knowledge of Terraform is beneficial, with at minimum a basic understanding of its role
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General development experience in any programming language, whether Python, Java, or JavaScript, demonstrating a builder's mentality rather than a strictly query-focused approach
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Hands-on exposure to AI/LLM applications within a data environment, with particular value placed on Snowflake Cortex familiarity
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Strong conceptual foundation in semantic modeling, quality assurance practices, and governance frameworks
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Ease in communicating directly with client-side stakeholders, such as architects and permanent staff, without relying on an intermediary team structure
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Excellent English communication skills (B2 level or higher)
Nice to have
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Background in data analysis to help generate insights and guide sound decision-making
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Working knowledge of Python for automation, scripting, or manipulating datasets
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.
