Senior Systems Architect; Data​/Azure TOR

Design and lead enterprise data architecture for large-scale cloud platforms in the insurance industry. This hybrid contract opportunity in Toronto or Waterloo focuses on Azure-based data ecosystems, big data technologies, and scalable data pipelines, combining strategic architecture leadership with hands‑on data engineering expertise.

• Salaried: $70-80 per hour.
• Incorporated Business Rate: $85-95 per hour.
• 6-month contract with the potential for permanent employment.
• Full-time position: 37.50 hours per week.
• Weekday schedule from 9 am to 5 pm.
• Remote on Monday and Friday; on-site Tuesday to Thursday.

• Lead the architecture and technical design of large-scale enterprise data platforms supporting high-volume data environments.
• Design scalable data pipelines to ingest, process, and transform data from multiple enterprise source systems.
• Develop and implement enterprise data integration and migration strategies for complex datasets.
• Architect and maintain data warehouses, data lakes, and big data platforms optimized for performance and scalability.
• Define data architecture solutions ensuring secure storage, accessibility for business teams, and strong governance practices.
• Optimize data solutions using distributed processing, partitioning, and performance tuning techniques.
• Define the architecture of end‑to‑end data and machine learning pipelines across the data supply chain.
• Establish enterprise data architecture standards, guidelines, and best practices.
• Create architectural blueprints for building, testing, and maintaining data lakes and data warehouses.
• Collaborate with engineers, analysts, and database administrators to ensure efficient data usage and accessibility.
• Design logical database structures and define how systems integrate and exchange data across platforms.
• Document data architecture, data flows, interfaces, and transformation logic including aggregations and calculations.
• Support data migration initiatives including validation, mapping, clean‑up, and data dictionary management.
• Translate business and application requirements into scalable and sustainable data architecture solutions.
• Promote strong data quality practices and collaborate with business stakeholders to ensure data integrity.
• Provide technical leadership on projects and guide architecture decisions impacting enterprise data platforms.
• Implement controls and monitoring to ensure ethical and responsible use of enterprise data.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 8+ years of experience in data engineering.
• 2+ years of experience architecting, designing, and developing enterprise-scale data solutions.
• Strong expertise in big data technologies including Hadoop, No
  
  SQL, Spark, and metadata management.