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