Overview
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI
Full job description
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute.
Key Responsibilities
Design and develop data transformations within Snowflake using SQL, dbt, Dynamic Tables, Streams/Tasks, or similar technologies. Build and maintain Silver and Gold layer datasets, dimensional models, data marts, and analytical structures. Develop semantic views/models that provide consistent business definitions, metrics, dimensions, and relationships. Translate business requirements into scalable data models and transformation logic. Support data consumption across Power BI, Tableau, Sigma, Snowflake Cortex, Snowflake Intelligence, and other analytics/AI platforms. Optimize Snowflake models and transformations for performance, scalability, and cost. Implement data quality, governance, documentation, and business logic within curated datasets. Partner with business stakeholders, BI teams, architects, and data engineers to design solutions that enable self-service analytics and AI. Help establish best practices for data modeling, transformation, semantic layers, and Snowflake architecture. Required Qualifications
7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering. Strong hands-on Snowflake and SQL experience. Strong understanding of dimensional modeling, analytical data structures, and data architecture. Experience with dbt or similar transformation technologies. Experience developing semantic layers, semantic views, or business-facing data models. Ability to translate complex business requirements into scalable technical solutions. Strong understanding of data quality, governance, and performance optimization. Preferred Experience
Snowflake Cortex, Cortex Analyst, or Snowflake Intelligence Snowflake Dynamic Tables Power BI, Tableau, or Sigma GenAI / conversational analytics YAML-based semantic models Azure cloud data platforms Medallion architecture (Bronze/Silver/Gold) Collibra or other data governance platforms
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