At a Glance
- Tasks: Design and lead data integration for a cutting-edge Digital Regulatory Assurance System.
- Company: Join a forward-thinking team focused on innovative data solutions.
- Benefits: Competitive hourly rate, remote work flexibility, and long-term contract potential.
- Other info: Collaborate with a multidisciplinary Agile team and mentor future data architects.
- Why this job: Make a real impact by shaping data architecture in a dynamic environment.
- Qualifications: 7+ years in data architecture with hands-on experience in Databricks and cloud platforms.
The predicted salary is between 110 - 110 $ per hour.
Location: Remote – Canada
Work Hours: Monday–Friday, 8:15 AM–4:30 PM Alberta Time
Duration: Long-term contract with possible extension
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.
- 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.
- 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.
- Experience with REST APIs, ETL/ELT, event streaming, and 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 data.
Senior Data Architect in Edmonton employer: Russell Tobin
As a Senior Business Analyst at our Toronto location, you will thrive in a dynamic and inclusive work culture that values diversity and innovation. We offer competitive pay rates, opportunities for professional growth, and the chance to work on impactful projects within the public sector. Join us to be part of a team that not only values your expertise but also supports your career development in a collaborative environment.
