Key skills
PythonSQLAIMLLLMETLELTData EngineeringData WarehousingAnalyticsBIPower BISnowflakeAzureCaching
About this role
Role: Snowflake Architect
Location: Mount Juliet, TN
Duration: 6 Months (Contract)
Work Mode: Onsite
Qualifications:
- 7+ years of experience in data engineering with strong hands-on expertise in Snowflake and Power BI
- Proven ability to design analytics-ready data models and enterprise BI solutions
- Deep understanding of ELT/ETL patterns, data warehousing concepts, and performance tuning
- Strong experience in Snowflake architecture design, including multi-cluster warehouses, workload isolation, and scaling strategies
- Expertise in designing layered data architectures (Bronze/Silver/Gold or Medallion) within Snowflake
- Hands-on experience with Snowflake features such as Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning
- Strong knowledge of micro-partitioning, clustering, and pruning optimization for large-scale datasets
- Experience implementing data governance, RBAC, masking policies, row-level security, and secure data sharing in Snowflake
- Proven ability to optimize query performance and manage cost efficiency using warehouse sizing, caching, and query tuning techniques
- Experience with Snowflake Cortex / AI & "super intelligence" capabilities for enabling AI-driven data applications, including use of built-in LLM functions, vectorized data access, and intelligent data enrichment
- Familiarity with Snowpark and Snowflake-native application development for advanced data processing and ML workloads
- Exposure to Snowflake Native Apps / Snowlit (Snowflake app framework) for building and deploying data applications within the Snowflake ecosystem
- Understanding of unstructured data handling and AI/ML integrations within Snowflake (e.g., document processing, embeddings, vector search)
- Experience building and optimizing Power BI dashboards, semantic models, and DAX calculations
- Proficiency in SQL and Python for data transformation and automation
- Experience with Azure Data Factory and cloud-based data ecosystems
- Ability to translate business requirements into scalable data models and actionable insights