Role: Data Architect – Senior

Location: Edmonton, Alberta (Remote)

Job Type: Contract

Role Overview The role focuses on connecting regulatory and environmental data across DRAS, a Databricks-based Data Management Platform, and the Alberta Geospatial Platform. The successful candidate will define enterprise data architecture, integration patterns, data models, and governance practices to enable reliable, secure, and reusable data.

Key Responsibilities

- Define target-state data architecture and integration strategies across enterprise platforms.
- Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data.
- Architect Databricks lakehouse solutions using Delta Lake, medallion architecture, Spark, and Unity Catalog.
- Design data pipelines and integration patterns using ETL/ELT, REST APIs, event streaming, and change data capture.
- Lead integration between cloud data platforms, enterprise systems, and geospatial platforms.
- Establish data contracts, API specifications, metadata, lineage, and data quality standards.
- Ensure compliance with security, privacy, information classification, and records management requirements.
- Collaborate with data engineers, GIS specialists, developers, business analysts,



and product owners in an Agile workplace.
- Provide architecture guidance, technical documentation, risk recommendations, and mentorship.

Required Skills & Qualifications
- Strong experience in enterprise data architecture, database design, documentation, and data integration.
- Hands-on experience with Databricks, Delta Lake, Spark/PySpark, SQL, and Unity Catalog .
- Expertise in relational, dimensional, and lakehouse data modelling.
- Experience with enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and CDC.
- Experience with cloud data services, preferably Azure Data Lake Storage, Azure Data Factory, Event Hubs, and Key Vault.
- Experience with ServiceNow integration.
- Knowledge of geospatial data, GIS platforms, spatial formats, geometry, and coordinate reference systems.
- Strong understanding of data governance, metadata management, data quality, security, and privacy.
- Experience with enterprise architecture principles, risk assessments, and Agile delivery.
- Excellent communication, documentation, stakeholder management, and technical leadership skills.

📌 Senior Data Architect (Edmonton)
🏢 RAPS Consulting
📍 Edmonton