Senior Data Architect
Russell Tobin
Senior Data Architect – Digital Regulatory Assurance System Location:
Remote – Canada
Work Hours:
Monday–Friday, 8:15 AM–4:30 PM Alberta Time
Duration:
Long-term contract with possible extension
Work Location Requirement:
Must be performed within Canada
Rate:
$100 - $110 per hour (CAD)
Position Overview We are seeking an experienced
Senior Data Architect
to design and lead data integration across a Digital Regulatory Assurance System, a Databricks-based Data Management Platform, and a Geospatial Platform.
The successful candidate will establish the architecture and direction for how regulatory, environmental, and spatial data is integrated, managed, governed, and delivered across enterprise platforms. The objective is to enable trusted, timely, secure, and reusable data for business users, decision-makers, and stakeholders.
You will work within a multidisciplinary Agile team consisting of developers, data engineers, GIS specialists, business analysts, and product owners.
Key Responsibilities
Define and maintain the target-state data architecture across regulatory, data management, and geospatial platforms.
Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains.
Establish appropriate integration patterns, including batch, near-real-time, event-driven, API-based, and change data capture approaches.
Design lakehouse architectures using
Databricks, Delta Lake, Spark, and Unity Catalog .
Architect spatial data flows while maintaining geometry, coordinate reference systems, and spatial accuracy.
Data Integration & Delivery
Lead the design of data pipelines and interfaces between enterprise systems.
Collaborate closely with data engineers and developers throughout solution implementation.
Define data contracts, API specifications, and interface agreements.
Resolve complex integration challenges involving data quality, schema changes, latency, and system dependencies.
Participate in Agile ceremonies, including sprint planning, backlog refinement, and reviews.
Translate architecture requirements into actionable user stories and technical deliverables.
Data Governance, Security & Quality
Implement data governance practices covering metadata management, data lineage, data classification, and master/reference data.
Ensure solutions address information security, privacy, and records management requirements.
Define data quality rules, validation frameworks, and monitoring strategies.
Apply appropriate role-based access controls and data-sharing policies based on data sensitivity.
Act as a senior data architecture advisor to program leadership, product owners, and technical teams.
Work with business stakeholders to understand business processes and translate them into data requirements.
Collaborate with enterprise architecture, cybersecurity, and platform teams to ensure alignment with organizational standards and roadmaps.
Develop architecture documentation, diagrams, and technical decision records.
Mentor team members and promote data architecture best practices.
Required Qualifications
University degree in
Computer Science, Information Systems, Engineering, Geomatics, or a related field .
7+ years
of progressive experience in data architecture, data engineering, or data integration, including at least
3 years in a Data Architect role .
Hands-on experience designing solutions using
Databricks, Delta Lake, Spark/PySpark/SQL, and Unity Catalog .
Strong experience with
relational, dimensional, and lake house data modelling .
REST APIs
ETL/ELT
Event streaming
Change Data Capture (CDC)
Experience with cloud data platforms, preferably
Microsoft Azure , including Azure Data Lake Storage, Data Factory, Event Hubs, and Key Vault.
Experience with
ServiceNow integrations .
Experience working in the
public sector , preferably with regulatory systems or programs.
Experience integrating with
geospatial platforms
and understanding geospatial
#J-18808-Ljbffr
Remote – Canada
Work Hours:
Monday–Friday, 8:15 AM–4:30 PM Alberta Time
Duration:
Long-term contract with possible extension
Work Location Requirement:
Must be performed within Canada
Rate:
$100 - $110 per hour (CAD)
Position Overview We are seeking an experienced
Senior Data Architect
to design and lead data integration across a Digital Regulatory Assurance System, a Databricks-based Data Management Platform, and a Geospatial Platform.
The successful candidate will establish the architecture and direction for how regulatory, environmental, and spatial data is integrated, managed, governed, and delivered across enterprise platforms. The objective is to enable trusted, timely, secure, and reusable data for business users, decision-makers, and stakeholders.
You will work within a multidisciplinary Agile team consisting of developers, data engineers, GIS specialists, business analysts, and product owners.
Key Responsibilities
Define and maintain the target-state data architecture across regulatory, data management, and geospatial platforms.
Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains.
Establish appropriate integration patterns, including batch, near-real-time, event-driven, API-based, and change data capture approaches.
Design lakehouse architectures using
Databricks, Delta Lake, Spark, and Unity Catalog .
Architect spatial data flows while maintaining geometry, coordinate reference systems, and spatial accuracy.
Data Integration & Delivery
Lead the design of data pipelines and interfaces between enterprise systems.
Collaborate closely with data engineers and developers throughout solution implementation.
Define data contracts, API specifications, and interface agreements.
Resolve complex integration challenges involving data quality, schema changes, latency, and system dependencies.
Participate in Agile ceremonies, including sprint planning, backlog refinement, and reviews.
Translate architecture requirements into actionable user stories and technical deliverables.
Data Governance, Security & Quality
Implement data governance practices covering metadata management, data lineage, data classification, and master/reference data.
Ensure solutions address information security, privacy, and records management requirements.
Define data quality rules, validation frameworks, and monitoring strategies.
Apply appropriate role-based access controls and data-sharing policies based on data sensitivity.
Act as a senior data architecture advisor to program leadership, product owners, and technical teams.
Work with business stakeholders to understand business processes and translate them into data requirements.
Collaborate with enterprise architecture, cybersecurity, and platform teams to ensure alignment with organizational standards and roadmaps.
Develop architecture documentation, diagrams, and technical decision records.
Mentor team members and promote data architecture best practices.
Required Qualifications
University degree in
Computer Science, Information Systems, Engineering, Geomatics, or a related field .
7+ years
of progressive experience in data architecture, data engineering, or data integration, including at least
3 years in a Data Architect role .
Hands-on experience designing solutions using
Databricks, Delta Lake, Spark/PySpark/SQL, and Unity Catalog .
Strong experience with
relational, dimensional, and lake house data modelling .
REST APIs
ETL/ELT
Event streaming
Change Data Capture (CDC)
Experience with cloud data platforms, preferably
Microsoft Azure , including Azure Data Lake Storage, Data Factory, Event Hubs, and Key Vault.
Experience with
ServiceNow integrations .
Experience working in the
public sector , preferably with regulatory systems or programs.
Experience integrating with
geospatial platforms
and understanding geospatial
#J-18808-Ljbffr
Reference: WJ-3875_14081721