Snowflake Architect

Adastra Corporation•Markham, ON

2d•$120,000 - $150,000•Hybrid

About The Position

Adastra is seeking an experienced Snowflake Architect to lead the design, evolution, and governance of our Snowflake data platform. This strategic role will focus on architecting scalable, secure, and high-performance solutions that support enterprise-wide data initiatives. You will collaborate with engineering teams, analysts, business stakeholders, and data governance leaders to define best practices, optimize platform usage, and ensure the data ecosystem is aligned with organizational goals.

Requirements

5+ years of experience architecting solutions on enterprise data platforms. including Snowflake Data Cloud
Deep understanding of Snowflake account structure, compute management, cost optimization, and security
Expertise in dimensional modeling, DBT architecture, and ELT best practices
Strong command of SQL performance tuning, warehouse scaling, and data transformation strategies
Experience working with BI tools (especially Power BI) and their integration with Snowflake
Familiarity with modern data governance, metadata management, and data quality frameworks
Proven ability to collaborate with cross-functional teams and communicate technical concepts clearly
Experience with automation tools such as Terraform, Ansible, Terragrunt, etc

Nice To Haves

Experience with Snowflake Cortex, Snowpipe, and native integrations with third-party tools
Working knowledge of DevOps practices, CI/CD pipelines, and version control in DBT environments
Familiarity with enterprise data catalogs, data lineage tools, and policy-driven governance platforms
Prior experience in designing hybrid cloud or multi-region Snowflake architectures

Responsibilities

Define the overall architecture of Snowflake environments, including account structure, multi-cluster warehouses, data zones, and data sharing strategies
Develop platform standards and governance policies for databases, schemas, roles, and compute resource allocation
Lead capacity planning, cost optimization, and usage monitoring initiatives across all Snowflake environments
Establish security models including role-based access control (RBAC), row-level security (RLS), and column-level security (CLS), ensuring alignment with governance and compliance requirements
Guide the implementation of scalable DBT-based data transformation pipelines following modular, testable, and reusable patterns
Architect dimensional models (star and snowflake schemas) to support enterprise BI, semantic layers, and data products
Define standards for DBT project organization, testing coverage, naming conventions, and performance optimization
Provide architectural guidance for large-scale SQL query design, clustering strategies, and caching mechanisms
Partner with engineering teams to design compute-optimized solutions using workload-aware warehouse sizing and scheduling
Lead initiatives to monitor and optimize platform performance, query execution plans, and storage utilization
Collaborate with data governance teams to align architecture with metadata management, lineage tracking, and data quality frameworks
Design solutions that incorporate automated testing, validation, and anomaly detection using tools like DBT, Great Expectations, or custom frameworks
Ensure adherence to organizational standards for documentation, data stewardship, and access controls
Define best practices for exposing curated data models and semantic layers to BI platforms (e.g., Power BI)
Support scalable data access strategies through optimized views, data marts, and materialized outputs
Provide architectural support for Power BI models, including DirectQuery, Import, and hybrid configurations
Serve as a technical advisor to data engineers, analysts, and business units on best practices and architectural decisions
Document data architecture, lineage, security design, and platform configurations for transparency and supportability
Lead design reviews, POCs, and architectural assessments for new data initiatives