Closed listing
Data Architect - Senior
- AB, Canada
- Edmonton, AB, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- Approximately 8+ years of enterprise data architecture, database architecture, data engineering, or enterprise solution experience.
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
The successful candidate will lead the design and integration of data across DRAS, Databricks-based data platforms, and the Alberta Geospatial Platform, ensuring regulatory, environmental, and spatial data is reliable, secure, well-governed, and reusable.
Key Responsibilities
- Define and maintain target-state data architecture across enterprise systems and data platforms.
- Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data.
- Design scalable Databricks lakehouse architectures, including Bronze/Silver/Gold layers, Delta Lake, and Unity Catalog.
- Establish enterprise integration patterns including REST APIs, ETL/ELT, event-driven integration, change data capture, and batch/near-real-time processing.
- Design and guide data pipelines and interfaces between business systems and data platforms.
- Define data contracts, APIs, integration specifications, and interface standards.
- Architect geospatial data integrations while maintaining geometry, coordinate reference systems, and spatial accuracy.
- Establish data governance practices covering metadata, lineage, classification, master/reference data, security, and data quality.
- Ensure architecture complies with Government of Alberta information security, privacy, and records-management standards.
- Resolve complex architecture and integration issues involving schema changes, data quality, latency, and system dependencies.
- Partner with developers, data engineers, GIS specialists, business analysts, cybersecurity teams, product owners, and enterprise architects.
- Produce architecture diagrams, technical documentation, and architecture decision records.
- Provide technical leadership and mentor team members on data architecture best practices.
- Participate in Agile ceremonies and translate architecture requirements into actionable delivery work.
- College or university degree in Computer Science, Information Systems, Engineering, Geomatics, or a related discipline.
- Approximately 8+ years of enterprise data architecture, database architecture, data engineering, or enterprise solution experience.
- Strong experience working as a Data Architect within complex enterprise IT environments.
- Hands-on experience with Databricks, Delta Lake, Spark/PySpark, SQL, and Unity Catalog.
- Strong knowledge of relational, dimensional, and lakehouse data modelling.
- Experience designing and implementing enterprise integration solutions using REST APIs, ETL/ELT, event streaming, and change data capture.
- Experience with cloud and big-data platforms, preferably Microsoft Azure.
- Knowledge of Azure Data Lake Storage, Azure Data Factory, Event Hubs, and Key Vault.
- Experience designing, implementing, and supporting enterprise databases and data warehouse solutions.
- Strong SQL and Transact-SQL experience.
- Experience with ServiceNow integration.
- Experience conducting or contributing to threat and risk assessments and presenting technical recommendations.
- Strong understanding of enterprise architecture principles, data governance, metadata management, data quality, privacy, and security.
- Experience working within Agile delivery environments.
- Strong communication and stakeholder-management skills.
- Experience integrating with GIS/geospatial platforms and working with geospatial data formats, standards, coordinate systems, and spatial data.
- Experience with architecture modelling tools such as PowerDesigner, ER/Studio, or similar tools.
- Experience with enterprise Business Intelligence and performance-management platforms.
- TOGAF certification.
- Previous Government of Alberta or Canadian public-sector experience is a strong asset.
More about this job
Responsibilities
Lead the design and integration of regulatory, environmental, and geospatial data across enterprise systems, Databricks platforms, and the Alberta Geospatial Platform. Establish data architecture, integration standards, governance, and security practices while guiding delivery teams and resolving complex architecture issues.
Requirements
Requires a relevant college or university degree and approximately 8 or more years of enterprise data architecture, database architecture, data engineering, or solution experience. Candidates should have hands-on Databricks, Delta Lake, Spark/PySpark, SQL, Unity Catalog, Azure, integration, data governance, and Agile experience, along with strong communication and stakeholder-management skills.
Skills
- Data Architecture
- Databricks
- Delta Lake
- Apache Spark
- PySpark
- SQL
- Unity Catalog
- Data Modeling
- ETL/ELT
- REST APIs
- Event-Driven Integration
- Change Data Capture
- Azure
- Data Governance
- Geospatial Data
- Agile Delivery
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Government & Public Sector
- Environmental & Sustainability
Keywords
- Data Architecture
- Digital Regulatory Assurance System
- Databricks
- Lakehouse Architecture
- Bronze/Silver/Gold Layers
- Delta Lake
- Unity Catalog
- Apache Spark
- PySpark
- SQL
- Transact-SQL
- Microsoft Azure
- Azure Data Lake Storage
- Azure Data Factory
- Azure Event Hubs
- Azure Key Vault
- REST APIs
- ETL/ELT
- Event Streaming
- Change Data Capture
- Geospatial Data
- Alberta Geospatial Platform
- Data Governance
- Metadata Management
- Data Quality
- ServiceNow Integration
- Threat and Risk Assessments
- Agile
- TOGAF
- PowerDesigner