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Snowflake Architect

Spark Tek · TN

3030

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Snowflake Architect at Spark Tek. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role: Snowflake Architect

Location: Mount Juliet, TN

Duration: 6 Months (Contract)

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

Skills

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