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