Senior Data Architect - Edmonton, AB - SDAB

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.