Closed listing
Data Engineer (Snowflake)
- Toronto, ON, Canada
$69 to $77 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $69 to $77 CAD / hour
- Job type
- Contract
- Closing date
- Experience
- 5+ years of experience as a Data Engineer, Data Developer, or similar role.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Data Engineer (Snowflake & Data Governance) – Wealth Management
Overview
We are seeking a Data Engineer with strong Snowflake expertise and a solid understanding of Data Governance to support a large-scale Wealth and Asset Management data initiative. This individual will help organize, govern, and structure critical enterprise data assets, including sensitive and confidential information, while contributing to the development of data governance frameworks, lineage, and architecture within Snowflake.
Key Responsibilities
- Analyze and reverse engineer existing data models and datasets to establish current-state data architecture.
- Document data assets, data flows, lineage, and governance processes within Snowflake.
- Partner with business and technical stakeholders to define and implement a scalable data governance framework.
- Classify and manage sensitive data, including PII and confidential information, in accordance with enterprise standards.
- Support the design, development, and monitoring of governed data assets and data products.
- Collaborate with Data Governance, Business, and Engineering teams to adapt governance frameworks for Wealth Management use cases.
- Contribute to the delivery of a key MVP targeted for January/February.
- Support ongoing maintenance, monitoring, and optimization activities following implementation.
Required Skills & Experience
- 5+ years of experience as a Data Engineer, Data Developer, or similar role.
- Strong hands-on experience with Snowflake, including:
- Data modeling
- Data architecture
- SQL development
- Data warehousing concepts
- Experience with:
- Data governance
- Metadata management
- Data quality frameworks
- Data lineage documentation
- Proven ability to document current-state and future-state data architectures.
- Advanced SQL skills and experience with modern data management tools.
- Strong stakeholder management skills with the ability to translate business requirements into technical solutions.
- Excellent communication and documentation skills.
*We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
*Pay range for this role is between 69/hr - 77/hr CAD.
*This role is an existing vacancy.
*No requirement for Canadian experience or education
More about this job
Responsibilities
Analyze existing data models and datasets, document data assets, flows, lineage, and governance processes, and help establish a scalable governance framework in Snowflake. Support the design, monitoring, and optimization of governed data assets and products for Wealth Management, including the management of sensitive information.
Requirements
Requires 5+ years of experience in data engineering, data development, or a similar role, with strong hands-on Snowflake experience and advanced SQL skills. Candidates should have experience with data governance, metadata management, data quality, lineage, architecture documentation, and translating business requirements into technical solutions.
Skills
- Snowflake
- Data Modeling
- Data Architecture
- SQL
- Data Warehousing
- Data Governance
- Metadata Management
- Data Quality
- Data Lineage
- Data Classification
- Stakeholder Management
- Technical Documentation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Finance & Accounting
Keywords
- Snowflake
- Data Engineering
- Data Modeling
- Data Architecture
- SQL
- Data Warehousing
- Data Governance
- Metadata Management
- Data Quality Frameworks
- Data Lineage
- Data Assets
- Data Flows
- Data Products
- Sensitive Data
- Personally Identifiable Information
- Confidential Information
- Wealth Management
- Asset Management
- Enterprise Data
- Current-State Architecture
- Future-State Architecture
- Stakeholder Management
- Business Requirements
- Data Management Tools
- Minimum Viable Product