Role: Sr. Data Engineer

Location: Mount Juliet, TN

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