Role: Data Architect - Metadata & Lineage Governance.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
Own the complete visibility of enterprise data flows-from source systems across LOBs to analytics consumption. This specialized architecture role ensures governance traceability and regulatory compliance through comprehensive metadata catalogs and lineage mapping.
Core Ownership
Lineage & Metadata Architecture
-
Data Flow Mapping: Source-to-target lineage (ETL APIs streaming)
-
Process Documentation: Data flow diagrams attribute-level mappings transformation rules
-
Metadata Repositories: Centralized catalogs (Snowflake Collibra Alation)
-
Governance Frameworks: Data ownership stewardship quality gates
Cross-Functional Coordination
-
Stakeholder Alignment: LOB owners data stewards engineering leads
-
Project Integration: Metadata as standard project deliverable
-
Tooling Standards: Lucidchart diagrams Confluence specs JIRA tracking
-
Technical Validation: SQL lineage queries Python metadata extraction
Day-to-Day Impact
-
Map 100 systems across Finance Risk AML Payments domains
-
Document transformation logic ensuring 100% audit traceability
-
Validate lineage accuracy through SQL/Python forensics
-
Drive governance adoption across engineering teams
-
Maintain living metadata catalogs current within 24 hours of changes
Required Expertise (Must-Have)
-
3 years data lineage/metadata management (enterprise scale)
-
Advanced SQL: Window functions recursive CTEs cross-DB lineage queries
-
Python: Metadata extraction pandas profiling automation scripts
-
Excel: Pivot tables VBA macros complex formula auditing
-
Data Governance: Principles lifecycle stewardship frameworks
-
Cloud: AWS S3/Glue Azure ADLS/Synapse Snowflake lineage
Technical Stack Proficiency
-
Databases: MSSQL DB2 Teradata Oracle Sybase
-
Cloud: Azure Data Factory AWS Glue Snowflake
-
Tools: Lucidchart Confluence JIRA GitHub Airflow Kafka
-
Languages: Advanced SQL Python Excel VBA
-
Domains: AML/Fraud/Payments (preferred)
Nice-to-Have Impact
-
Big Data lineage (Spark/Hadoop job flows Kafka topics)
-
MLOps pipeline transparency (feature stores model lineage)
-
Agile delivery of governance frameworks
Role: Data Architect - Metadata & Lineage Governance. Location: Toronto ON (Onsite). Duration: Long Term Contract. Job Overview Own the complete visibility of enterprise data flows-from source systems across LOBs to analytics consumption. This specialized architecture role ensures governance trac...
Role: Data Architect - Metadata & Lineage Governance.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
Own the complete visibility of enterprise data flows-from source systems across LOBs to analytics consumption. This specialized architecture role ensures governance traceability and regulatory compliance through comprehensive metadata catalogs and lineage mapping.
Core Ownership
Lineage & Metadata Architecture
-
Data Flow Mapping: Source-to-target lineage (ETL APIs streaming)
-
Process Documentation: Data flow diagrams attribute-level mappings transformation rules
-
Metadata Repositories: Centralized catalogs (Snowflake Collibra Alation)
-
Governance Frameworks: Data ownership stewardship quality gates
Cross-Functional Coordination
-
Stakeholder Alignment: LOB owners data stewards engineering leads
-
Project Integration: Metadata as standard project deliverable
-
Tooling Standards: Lucidchart diagrams Confluence specs JIRA tracking
-
Technical Validation: SQL lineage queries Python metadata extraction
Day-to-Day Impact
-
Map 100 systems across Finance Risk AML Payments domains
-
Document transformation logic ensuring 100% audit traceability
-
Validate lineage accuracy through SQL/Python forensics
-
Drive governance adoption across engineering teams
-
Maintain living metadata catalogs current within 24 hours of changes
Required Expertise (Must-Have)
-
3 years data lineage/metadata management (enterprise scale)
-
Advanced SQL: Window functions recursive CTEs cross-DB lineage queries
-
Python: Metadata extraction pandas profiling automation scripts
-
Excel: Pivot tables VBA macros complex formula auditing
-
Data Governance: Principles lifecycle stewardship frameworks
-
Cloud: AWS S3/Glue Azure ADLS/Synapse Snowflake lineage
Technical Stack Proficiency
-
Databases: MSSQL DB2 Teradata Oracle Sybase
-
Cloud: Azure Data Factory AWS Glue Snowflake
-
Tools: Lucidchart Confluence JIRA GitHub Airflow Kafka
-
Languages: Advanced SQL Python Excel VBA
-
Domains: AML/Fraud/Payments (preferred)
Nice-to-Have Impact
-
Big Data lineage (Spark/Hadoop job flows Kafka topics)
-
MLOps pipeline transparency (feature stores model lineage)
-
Agile delivery of governance frameworks
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