As an Enterprise Data Architect you will design implement and maintain the organizations enterprise data architecture to enable secure scalable and high-quality data for analytics AI and business this role you will combine strategic vision with hands-on execution defining architecture standards while actively contributing to platform build-out data modeling and integration work.
You will partner with business and technology teams to unify data across systems modernize legacy environments and ensure governance and compliance. Beyond initial implementation you will continuously monitor and optimize the architecture to keep it efficient cost-effective and aligned with evolving business needs.
Key responsibilities include:
Architecture Design and Roadmap
Define and maintain the enterprise data architecture strategy including principles patterns and reference designs.
Develop a roadmap for modernizing legacy systems and integrating new technologies.
Continuously evaluate emerging tools and recommend improvements to keep the architecture current and cost-efficient.
Hands-On Platform Development
Build and configure core components of the data platform (e.g. ingestion pipelines transformation layers orchestration workflows).
Implement CI/CD processes version control and environment management (DEV QA PROD).
Optimize data storage and processing for performance and scalability.
Data Modeling and Integration
Design and maintain enterprise data models and semantic layers to ensure consistency and usability.
Develop integration patterns for structured and unstructured data from multiple sources using APIs batch and streaming.
Support data engineers and analysts with modeling best practices and reusable components.
Governance and Compliance
Implement data governance frameworks including cataloging lineage and access control.
Ensure compliance with privacy regulations and internal security standards through encryption masking and role-based access.
Operational Maintenance and Optimization
Monitor platform health pipeline performance and data quality; troubleshoot and resolve issues proactively.
Implement observability and alerting for data workflows to minimize downtime.
Continuously improve architecture for cost optimization scalability and maintainability.
Collaboration and Enablement
Work closely with business stakeholders to understand requirements and translate them into architectural solutions.
Mentor team members on data architecture principles and hands-on practices.
Communicate architectural decisions clearly to both technical and non-technical audiences.
The ideal candidate will possess:
10 years of experience in data architecture engineering or related roles with hands-on experience in building and maintaining modern data platforms.
Strong knowledge of cloud-based data platforms (e.g. Azure AWS or GCP) and lakehouse/warehouse technologies (e.g. Snowflake Databricks Synapse).
Proficiency in data modeling techniques (dimensional normalized Data Vault) and semantic modeling for BI.
Hands-on experience with orchestration and transformation tools (Airflow dbt Azure Data Factory etc.).
Familiarity with data governance tools and practices (e.g. data catalog lineage metadata management).
Strong understanding of security and compliance frameworks for data privacy and protection.
Experience with version control (Git) CI/CD and DataOps practices.
Excellent problem-solving skills and ability to balance strategic thinking with tactical execution.
Bachelors degree in Computer Science Engineering or related field (Masters preferred).
As a condition of employment and in order to comply with industry related data security standards this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.
Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.
Company Overview:
Xplore Inc. isCanadas fibre 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living for today and future generations.
As an Enterprise Data Architect you will design implement and maintain the organizations enterprise data architecture to enable secure scalable and high-quality data for analytics AI and business this role you will combine strategic vision with hands-on execution defining architecture standards whi...
As an Enterprise Data Architect you will design implement and maintain the organizations enterprise data architecture to enable secure scalable and high-quality data for analytics AI and business this role you will combine strategic vision with hands-on execution defining architecture standards while actively contributing to platform build-out data modeling and integration work.
You will partner with business and technology teams to unify data across systems modernize legacy environments and ensure governance and compliance. Beyond initial implementation you will continuously monitor and optimize the architecture to keep it efficient cost-effective and aligned with evolving business needs.
Key responsibilities include:
Architecture Design and Roadmap
Define and maintain the enterprise data architecture strategy including principles patterns and reference designs.
Develop a roadmap for modernizing legacy systems and integrating new technologies.
Continuously evaluate emerging tools and recommend improvements to keep the architecture current and cost-efficient.
Hands-On Platform Development
Build and configure core components of the data platform (e.g. ingestion pipelines transformation layers orchestration workflows).
Implement CI/CD processes version control and environment management (DEV QA PROD).
Optimize data storage and processing for performance and scalability.
Data Modeling and Integration
Design and maintain enterprise data models and semantic layers to ensure consistency and usability.
Develop integration patterns for structured and unstructured data from multiple sources using APIs batch and streaming.
Support data engineers and analysts with modeling best practices and reusable components.
Governance and Compliance
Implement data governance frameworks including cataloging lineage and access control.
Ensure compliance with privacy regulations and internal security standards through encryption masking and role-based access.
Operational Maintenance and Optimization
Monitor platform health pipeline performance and data quality; troubleshoot and resolve issues proactively.
Implement observability and alerting for data workflows to minimize downtime.
Continuously improve architecture for cost optimization scalability and maintainability.
Collaboration and Enablement
Work closely with business stakeholders to understand requirements and translate them into architectural solutions.
Mentor team members on data architecture principles and hands-on practices.
Communicate architectural decisions clearly to both technical and non-technical audiences.
The ideal candidate will possess:
10 years of experience in data architecture engineering or related roles with hands-on experience in building and maintaining modern data platforms.
Strong knowledge of cloud-based data platforms (e.g. Azure AWS or GCP) and lakehouse/warehouse technologies (e.g. Snowflake Databricks Synapse).
Proficiency in data modeling techniques (dimensional normalized Data Vault) and semantic modeling for BI.
Hands-on experience with orchestration and transformation tools (Airflow dbt Azure Data Factory etc.).
Familiarity with data governance tools and practices (e.g. data catalog lineage metadata management).
Strong understanding of security and compliance frameworks for data privacy and protection.
Experience with version control (Git) CI/CD and DataOps practices.
Excellent problem-solving skills and ability to balance strategic thinking with tactical execution.
Bachelors degree in Computer Science Engineering or related field (Masters preferred).
As a condition of employment and in order to comply with industry related data security standards this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.
Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.
Company Overview:
Xplore Inc. isCanadas fibre 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living for today and future generations.
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