Data Architect

Job summary

Design enterprise data architecture, data models, and integration patterns across enterprise applications, Databricks, and geospatial platforms. Establish lakehouse solutions, data quality and governance controls, and security practices while producing architecture documentation and providing technical leadership to delivery teams.

Job details

Hiring: Senior Data Architect | Remote within Canada We are seeking an experienced Data Architect to support a large-scale digital transformation involving regulatory, environmental and geospatial data. This opportunity is ideal for someone who combines hands-on data platform expertise with enterprise architecture leadership. Location and Rate Fully remote, with work performed within Canada. Contract rate: CAD $95–$100 per hour. Applicants must be legally authorized to work in Canada. Contract dates and duration will be confirmed during screening. What You Will Do Design enterprise data architecture and conceptual, logical and physical data models. Develop integration designs across enterprise applications, Databricks and geospatial platforms. Define batch, near-real-time, streaming, API and change data capture integration patterns. Design lakehouse solutions using Databricks, Delta Lake and Unity Catalog. Establish data quality, metadata, lineage, governance and access controls. Address security, privacy and threat/risk considerations. Produce architecture diagrams, interface specifications and architecture decision records. Collaborate with business stakeholders, engineers, security specialists and agile delivery teams. Provide technical leadership and resolve complex integration and data quality challenges. What We Are Looking For A degree in Computer Science or a related discipline, or relevant equivalent education. Extensive enterprise data architecture experience, including designing, implementing, documenting and supporting enterprise data solutions. Hands-on experience with Databricks, Delta Lake, Spark/PySpark, SQL and Unity Catalog. Strong relational, dimensional and lakehouse data modeling expertise. Experience with REST APIs, ETL/ELT, streaming and CDC. Cloud data platform experience, preferably Azure Data Lake Storage, Azure Data Factory, Event Hubs and Key Vault. Experience integrating ServiceNow with enterprise data platforms. Knowledge of geospatial data, coordinate reference systems and spatial data quality. Experience with enterprise architecture standards, governance, security and risk assessments. Strong communication, estimation, planning and stakeholder leadership skills. Additional Assets TOGAF certification. Public-sector or regulated-industry experience. PowerDesigner, ER/Studio or comparable modeling tools. SQL Server, Transact-SQL and data warehouse implementation. Business intelligence and performance management solutions. Agile application delivery experience. How to Apply Please submit a resume showing your personal contributions, technologies used and outcomes under the relevant projects. Include employment and project dates in MMM/YYYY to MMM/YYYY format. Please also confirm your Canadian location, availability and acceptance of the advertised hourly rate.

What you’ll do

Design enterprise data architecture, data models, and integration patterns across enterprise applications, Databricks, and geospatial platforms. Establish lakehouse solutions, data quality and governance controls, and security practices while producing architecture documentation and providing technical leadership to delivery teams.

Requirements

Requires extensive enterprise data architecture experience and hands-on expertise with Databricks, Delta Lake, Spark/PySpark, SQL, Unity Catalog, data modeling, and integration technologies. A degree in Computer Science or a related discipline, or equivalent education, is requested, along with cloud platform, governance, security, geospatial, and stakeholder leadership experience.

Listed skills

• SQL · Preferred
• REST APIs · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

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

Job areas

• Data & Analytics
• Technology
• Software
• Management & Leadership
• Government & Public Sector

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