Role overview

Job Title: Senior Data Architect
Location: Remote – Canada
Job Type: Contract
Duration: 6 Months (Extension Possibility up to 24 Months)
Shift & Schedule: Monday – Friday | 8:15 AM – 4:30 PM Alberta Time | 1-Hour Lunch Break | Excluding Provincial Holidays

Note: This job doesn't offer any benefits.

Pay Rate: CAD $83.47 to 93.47/hr

Position Overview

We are seeking a Senior Data Architect to lead data integration and architecture for regulatory, environmental, and geospatial systems, connecting enterprise data platforms and ensuring data quality, governance, security, and accessibility.

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 with Databricks, including Delta Lake, Spark (PySpark/SQL), and Unity Catalog.

Strong experience with relational, dimensional, and lakehouse data modeling.

Experience designing enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and change data capture.

Experience with cloud data platforms, preferably Microsoft Azure, including Data Lake Storage, Data Factory, Event Hubs, and Key Vault.

Experience with ServiceNow integration.

Experience in the public sector, ideally with government regulatory systems or programs.

Experience integrating with geospatial platforms and knowledge of geospatial data concepts, formats, and standards.

Strong understanding of data governance, metadata management, data quality, and data security principles.

Experience working in agile delivery teams.

Excellent communication skills, including the ability to explain technical concepts to non-technical audiences.

Responsibilities

Define and maintain the target-state data architecture connecting regulatory systems, Databricks, and geospatial platforms.

Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data.

Establish integration patterns, including batch, near-real-time, event-driven, API-based, and change data capture approaches.

Design Databricks lakehouse structures, including medallion layers, Delta Lake tables, and Unity Catalog organization.

Architect spatial data flows that preserve geometry, coordinate reference systems, and spatial accuracy.

Lead the design of data pipelines and interfaces, collaborating with data engineers and developers throughout implementation.

Define data contracts, API specifications, and interface agreements between system owners.

Resolve complex integration issues involving data quality, schema changes, latency, and system dependencies.

Embed data governance practices, including metadata management, lineage, data classification, and master and reference data.

Ensure architecture aligns with security, privacy, information management, and records management requirements.

Define data quality rules, validation frameworks, monitoring approaches, and role-based access controls.

Advise program leadership, product owners, and technical teams on data architecture decisions.

Translate regulatory business processes into data requirements and coordinate with enterprise architecture, cybersecurity, and platform teams.

Produce architecture documentation, diagrams, and decision records while mentoring team members on data architecture best practices.