Database programmer Offres d'emploi - Waterloo, ON

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.

Responsibilities:

• 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, NoSQL, Spark, and metadata management.

• Expert knowledge of structured analysis and system design techniques.

• Strong experience across modern data platforms including Azure Data Factory, Databricks, Spark, Python, and Synapse.

• Strong understanding of enterprise data management including RDBMS and NoSQL data models.

• Experience with ETL and enterprise data integration technologies.

• Software development experience using languages such as Java, C, C++, or C#.

• Strong understanding of logical database design and enterprise data flows across systems.

• Experience leveraging AI tools to support data management strategies such as Microsoft Copilot or GitHub Copilot.

• Demonstrated expertise in Data Governance, Data Warehousing, Data Modeling, Data Visualization, Cloud Computing, Programming Languages, Performance Optimization, Data Security, and Data Integration.

• Experience designing scalable cloud-based data architectures in Azure environments.

• Experience with Informatica MDM is considered an asset.

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

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