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Snowflake Lead / Data Architect

Dhyati

Canada · On-site Contract Lead 1mo ago

About the role

About Dhyati

Dhyati is a boutique technology consulting firm that specializes in helping businesses define their technology strategy, develop detailed technology blueprints, and implement cutting-edge system and software solutions. With a global footprint spanning India, Canada, and the United States, we support organizations in addressing complex technological challenges and achieving scalable growth.

Role Details

  • Type: Contract
  • Location: On-Site, Edmonton, Canada

Role Description

We are seeking an experienced Snowflake Lead / Data Architect to design, build, and optimize modern data platforms. This role will lead data architecture initiatives, drive Snowflake best practices, and collaborate with cross-functional teams to deliver scalable, high-performance data solutions. The ideal candidate has strong experience in cloud data warehousing, data modeling, and building end-to-end data pipelines.

Key Responsibilities

  • Lead the design and implementation of Snowflake-based data architecture
  • Define data models (dimensional, normalized, and hybrid) to support analytics and reporting
  • Design and build scalable data pipelines for ingestion, transformation, and consumption
  • Optimize Snowflake performance, cost, and query efficiency
  • Implement data governance, security, and access controls (RBAC, masking, encryption)
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions
  • Drive best practices for ELT/ETL, data quality, and pipeline orchestration
  • Evaluate and integrate tools for data ingestion, transformation, and orchestration
  • Mentor team members and provide technical leadership on data platform initiatives

Core Qualifications

  • 8+ years of experience in data engineering / data architecture
  • Strong hands-on experience with Snowflake (architecture, performance tuning, optimization)
  • Experience designing and building data warehouses / data lakes
  • Strong expertise in SQL and data modeling
  • Experience with ETL/ELT tools (dbt, Informatica, Talend, or similar)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of data pipeline orchestration tools (Airflow, etc.)
  • Experience with data security, governance, and compliance frameworks
  • Ability to design scalable, reliable, and cost-efficient data solutions

Preferred Qualifications

  • Experience with dbt and modern data stack tools
  • Familiarity with streaming/data ingestion tools (Kafka, Snowpipe, etc.)
  • Experience with BI tools (Tableau, Power BI, Looker)
  • Certifications in Snowflake or cloud platforms
  • Experience working in Agile environments

Skills

AWSAzureGCPInformaticaSnowflakeSQLTalenddbtdata modelingdata warehousingAirflowdata governancedata pipelinesdata securityETLELT

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