Senior Data Architect defining comprehensive data strategy and architecture for AI. Delivering organization’s data vision and ensuring governance and technical oversight of enterprise data architecture.
About the role
- Software Developer in Test working on cloud-based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
Responsibilities
- Actively participate as a member of an agile data platform team
- Collaborate with Data Engineers and Product Owners to define test strategies alongside feature development
- Design and implement automated test cases upfront for new pipelines and transformations
- Build and maintain automated regression testing frameworks for data pipelines
- Ensure automated tests are reusable across development cycles and integrated into regression suites
- Validate end-to-end data pipelines from Bronze to Silver and Gold
- Integrate automated tests into CI/CD pipelines to enable continuous validation
- Design and implement data observability checks, including:
- Data freshness
- Schema drift detection
- Volume validation
- Metric anomaly detection
- Ensure downstream semantic layers, metrics, and BI dashboards remain consistent after changes
- Perform impact analysis when transformation logic evolves
- Write SQL and Python-based validation scripts
- Identify data quality issues, root causes, and gaps in transformation logic
- Contribute to best practices for test automation, data quality, and observability
- Complement automated testing with manual testing for edge cases, exploratory scenarios, and creative validation.
- Support release validation and production verification
Requirements
- 5+ years of experience as a Software Developer in Test or QA Engineer
- Strong experience with automated testing frameworks and regression testing
- Experience testing data pipelines, transformations, or analytics platforms
- Advanced SQL skills and strong understanding of data modeling
- Experience with Databricks (DLT, streaming, batch processing)
- Experience translating business requirements into automated test scenarios
- Experience with Python or similar scripting languages
- Familiarity with CI/CD pipelines and automated test execution
- Strong analytical and problem-solving skills
- Excellent collaboration and communication skills.
- Strong English communication skills, both written and spoken, are essential for effective correspondence with customers, business partners and colleagues beyond the province of Quebec.
- **Nice to Have**
- Experience with CDC and streaming validation
- Experience with data quality or observability frameworks
- Experience validating BI dashboards (Cognos, Power BI, etc.)
- Knowledge of supply chain or healthcare data domains
- Experience working in cloud environments (AWS preferred)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer at Booz Allen utilizing data to impact critical missions like fraud detection and cancer research. Collaborating with analysts and developers on advanced technology solutions.
Technical Product Manager for Data Engineering at Betclic. Owning product roadmaps, driving data infrastructure evolution, and ensuring alignment across engineering teams.
Senior Data Engineer maturing strategic data assets and delivering business analytics in a regulated financial environment. Collaborating with stakeholders to advance business data strategy on cloud platforms.
Staff Data Engineer leading scalable data solutions for analytics and reporting at Asurion. Designing data pipelines and ensuring data quality across cloud platforms.
Lead Architect at Travelers shaping enterprise database and data platform solutions. Collaborating across technology and business units to drive digital transformation and modernization efforts.
Senior Data Engineer at Porto Bank responsible for developing robust data architecture and ensuring data quality across teams. Collaborating with various data solutions for effective data management.
Data Engineer II at Dun & Bradstreet collaborating with teams to enhance data quality standards and practices. Driving best - in - class data management across diverse disciplines.
Senior Data Engineer at NVIDIA developing and optimizing database architectures while collaborating across software and hardware teams. Focus on data - driven systems in data center environments for complex networking verification.
Senior Data Engineer building reliable data infrastructure for AI - powered health experiences. Collaborating on data pipelines and ensuring data quality in a hybrid work environment.