Senior Data Architect

Job summary

Define the target-state architecture and data models for regulatory, environmental, and geospatial data, and lead integration across Databricks, regulatory, and geospatial platforms. Establish governance, security, quality, and delivery practices while advising stakeholders, collaborating with Agile teams, and documenting architectural decisions.

Job details

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 Architecture & Data Design 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. Leadership & Collaboration 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. Experience designing enterprise integration patterns, including: 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

What you’ll do

Define the target-state architecture and data models for regulatory, environmental, and geospatial data, and lead integration across Databricks, regulatory, and geospatial platforms. Establish governance, security, quality, and delivery practices while advising stakeholders, collaborating with Agile teams, and documenting architectural decisions.

Requirements

Requires a relevant university degree and at least seven years of progressive data architecture, engineering, or integration experience, including three or more years as a Data Architect. Candidates need hands-on Databricks, Delta Lake, Spark, SQL, and Unity Catalog experience, along with enterprise integration, cloud data platform, ServiceNow, and geospatial integration expertise.

Listed skills

• SQL · Preferred
• REST APIs · Preferred
• Microsoft Azure · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Data Integration
• Databricks
• Delta Lake
• Apache Spark
• PySpark
• SQL
• Unity Catalog
• Data Modeling
• ETL/ELT
• REST APIs
• Event Streaming
• Change Data Capture
• Microsoft Azure
• Geospatial Data
• Data Governance

Job areas

• Data & Analytics
• Technology
• Software
• Government & Public Sector
• Environmental & Sustainability

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