A remote Sales role at Arctic Wolf.
How Sydicom helps: we read this listing’s requirements and tune your CV and cover letter to the keywords its ATS (Workday) is scanning for, for candidates in India, then help you apply.
Original listing text, shown exactly as published by the company.
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Build and Own Snowflake Data Products for GTM Analytics
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Design, develop, and maintain curated Snowflake data models that support consistent reporting, analysis, and AI workloads.
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Build robust dimensional models (facts/dimensions) with clearly defined grain and relationships.
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Establish and Scale the Semantic Layer (Single Source of Truth)
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Design and maintain a centralized semantic / metrics layer that defines how the business measures performance.
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Define canonical GTM metrics (pipeline, ARR, conversion, forecast categories)
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Ensure the semantic layer is consumable across BI Tool, AI workflows, and downstream applications
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Partner with Corporate BI to Deliver Consistent Reporting at Scale
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Provide well-modeled, consumption-ready datasets that simplify dashboard development and reduce reliance on calculations built in Tableau
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Integrate Core GTM Systems (Salesforce + Clari)
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Develop scalable models from Salesforce data (opportunities, accounts, activities, users, territories)
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Enable AI-Ready Data Foundations (Snowflake Cortex + Advanced Analytics)
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Build datasets optimized for both human analytics and machine consumption
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Create feature-ready tables and reusable data layers for ML use cases
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Structure data to support Snowflake Cortex and AI-driven analytics,
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Use Python + SQL to build reproducible, production-oriented workflows
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Git-based workflows and code reviews, CI/CD and testing strategies
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Snowflake: deep expertise in data modeling, performance optimization, and scalable design
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dbt: production experience building modular models, tests, and semantic/metrics layers
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Tableau: strong understanding of how modeled data supports performance on dashboards
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Salesforce: experience modeling GTM data (pipeline, opportunity lifecycle, ownership)
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Clari: familiarity with forecast data structures and analytics use cases
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SQL (Advanced): expert-level transformation and debugging capabilities
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Snowflake Cortex: experience or strong understanding of LLM- powered analytics patterns and AI-ready data design
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Snowpark (Python) for scalable in-warehouse workflows
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Experience implementing a semantic or metrics layer (dbt, Looker, or equivalent)
Data Science / Advanced Analytics
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Strong Python (pandas, numpy, scikit-learn; time series a plus)
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Experience in delivering applied ML: regression/classification, forecasting models, segmentation and clustering
On-Camera Policy
To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.
Arctic Wolf
Sales
36 open roles on Sydicom
Arctic Wolf is a cybersecurity company specializing in security operations. It provides a cloud-native platform and concierge security team to help organizations detect and respond to cyber threats.
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