Snowflake Data Architect

PROLIM Global Corporation

  • Boston, MA
  • 30+ days ago
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    Skills

    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Architectural Analysisunmatched
    • Architectural Designunmatched
    • Cachingunmatched
    • Cloningunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cost Controlunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Warehousingunmatched
    • DataArchitect Data Modeling Toolunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Database Technologyunmatched
    • Dimensional Modelingunmatched
    • GCP (Good Clinical Practices)unmatched
    • Gitunmatched
    • Information/Data Security (InfoSec)unmatched
    • Microsoft Windows Azureunmatched
    • Performance Tuning/Optimizationunmatched
    • Python Programming/Scripting Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Service Level Agreement (SLA)unmatched
    • Snowflake Schemaunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Star Schemaunmatched
    • Use Casesunmatched

    Description

    Role Snowflake Data Architect Location Boston, MA Onsite Type Contract

    Role Summary We are seeking a hands-on Snowflake Data Architect to design, build, optimize, and productionize data pipelines and data products on Snowflake for enterprise analytics use cases. The role requires deep expertise in SQL, ELT, ETL orchestration, data modeling, 3NF, Star, Snowflake performance tuning, cost optimization, and secure data sharing in Snowflake. Youll collaborate with Product Owners, Data Architects, Analytics Engineers, and Platform teams to deliver reliable, scalable, and well-governed data solutions for TJX.

    Required Skills & Experience

    Must have:

    • Snowflake Hands-on Expert
    • Warehouses, Databases, Schemas, Roles & Grants, RBAC
    • Stages (internal, external)
    • File Formats (COPY INTO, Snowpipe)
    • Streams & Tasks
    • Time Travel
    • Cloning
    • Zero-Copy Clones
    • Fail-safe awareness
    • Query tuning
    • Clustering keys
    • Micro-partitions
    • Caching
    • Pruning
    • Secure data sharing
    • Masking policies
    • Tags
    • Governance features
    • BCR
    • DR
    • Storage integration and Parameters
    • Materialized Semantic Views
    • Dynamic Tables
    • Stream Lit
    • Snowflake Architecture
    • SQL Mastery
    • Strong production-grade SQL for large-scale transformations

    Good to have:

    • Programming (Python preferred for ELT utilities framework integration data quality checks)
    • dbt for transformation-as-code is a strong plus
    • Orchestration (Airflow preferred or ADF/Glue/Composer scheduling dependencies retry policies SLAs)
    • Data Modeling (Dimensional modeling, Kimball, SCD Type 12 normalization/denormalization trade-offs exposure to data vault is a plus)
    • Cloud Platforms (Experience with at least one major cloud AWS/Azure/GCP for storage S3/ADLS/GCS IAM networking basics and secrets management)
    • Version Control & CICD (Git workflows branching code reviews packaging environment promotion)
    • Data Quality (Testing frameworks dbt tests Great Expectations and monitoring/observability)

    Numbers & Facts

    LocationBoston, MA

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