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Data Engineer (Snowflake)

  • Toronto, ON, Canada

$77 to $85 CAD / hour · Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$77 to $85 CAD / hour
Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

JOB DESCRIPTION

We are seeking a Data Engineer with strong Snowflake expertise and a solid understanding of Data Governance to support a major Wealth/Asset Management data initiative. This role will focus on organizing and governing critical data assets, including PII and confidential data, while helping build the governance framework, data lineage, and enterprise data structure within Snowflake. Key Responsibilities • Assess and reverse engineer existing data models and datasets to establish a 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 model. • Classify and organize sensitive data, including PII and confidential information, according to enterprise standards. • Support the buildout and monitoring of governed data assets and data products. • Work closely with Data Governance, Business, and Engineering teams to adapt existing governance frameworks for Wealth Management use cases. • Contribute to the delivery of a key MVP targeted for January/February. • Support ongoing monitoring and maintenance efforts post-implementation.

REQUIRED SKILLS AND EXPERIENCE

  • 5+ years of experience as a Data Engineer or Data Developer. • Strong hands-on Snowflake experience, including data modeling, data architecture, and SQL development. • Experience with data governance, metadata management, data quality, and data lineage. • Experience documenting current-state and future-state data architectures. • Proficiency with SQL and modern data management tools. • Ability to interact directly with business stakeholders and translate requirements into technical solutions.

NICE TO HAVE SKILLS AND EXPERIENCE

  • Experience with Manta or other data lineage/metadata management tools. • Background in Wealth Management, Asset Management, or Financial Services. • Experience governing enterprise-wide data assets containing sensitive customer information. • Exposure to AI, analytics, research, or competitive intelligence data initiatives.

Pay:77-85

Vacancy: New Vacancy (New Role)

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

More about this job

Responsibilities

Assess existing data models and datasets, document data assets, flows, lineage, and governance processes, and help establish a scalable governance framework and enterprise data structure in Snowflake. Classify sensitive data and support the delivery, monitoring, and maintenance of governed data assets and products for Wealth Management use cases.

Requirements

Requires at least five years of experience as a Data Engineer or Data Developer, strong hands-on Snowflake skills, and proficiency in SQL, data modeling, and data architecture. Candidates should also have experience with governance, metadata, data quality, lineage, architecture documentation, and translating business requirements into technical solutions.

Skills

  • Snowflake
  • Data Modeling
  • Data Architecture
  • SQL
  • Data Governance
  • Metadata Management
  • Data Quality
  • Data Lineage
  • Data Classification
  • Data Documentation
  • Stakeholder Engagement
  • Data Engineering

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting

Keywords

  • Snowflake
  • SQL
  • Data Engineering
  • Data Development
  • Data Modeling
  • Data Architecture
  • Data Governance
  • Metadata Management
  • Data Quality
  • Data Lineage
  • Data Assets
  • Data Products
  • PII
  • Confidential Data
  • Sensitive Customer Information
  • Data Classification
  • Data Flows
  • Current-State Architecture
  • Future-State Architecture
  • Manta
  • Wealth Management
  • Asset Management
  • Financial Services
  • Banking
  • AI
  • Analytics
  • Research
  • Competitive Intelligence
  • Enterprise Data

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