Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Architect modernizing Univeris’s Canadian wealth-management platform through microservices, cloud data, and governance. Leading secure, compliant pipelines, analytics, and master data strategy.
Responsibilities
- Serve as the technical authority on data strategy, modeling, and governance
- Act as the bridge between Enterprise Architecture and engineering execution
- Define architectural patterns and assist with their application
- Lead the design for decoupling data from monolithic systems into domain-specific services
- Define data synchronization and consistency patterns for distributed environments
- Architect and oversee data pipelines and replication into domain-service and analytics environments
- Design for advanced BI dashboards, RAG systems, and AI model training
- Establish DataOps best practices with Platform Engineers
- Champion a Data-as-a-Product approach for ingestion and transformation pipelines
- Oversee the evolution of data pipeline and analytics environments for external integrations and client-facing analytics
- Design cloud cost-efficiency strategies, including partitioning, indexing, and lifecycle policies
- Define Master Data Management strategies, identify Systems of Record, and govern data flows
- Embed CIRO, CSA, GDPR, data sovereignty, and Privacy by Design requirements into data models
- Co-lead the Univeris Data Governance Framework and facilitate the Data Governance Office
- Operationalize metadata management, master data, data security, and data quality policies
- Establish automated data quality rules and SLAs for Critical Data Elements such as KYC and account information
- Design retention and disposal mechanisms for audit and regulatory compliance
- Guide engineering teams on data access patterns and database performance tuning for OLTP and batch workloads
- Set the technology and security vision for a scalable, product-aligned data architecture roadmap
- Report to the Director of Enterprise Architecture
Requirements
- Minimum 7–10 years of experience in Data Architecture, Data Engineering, or a related senior technical role
- Proven experience in Wealth Management, Fintech, or Banking is highly desirable
- Understanding of the regulatory landscape (CIRO/IIROC, MFDA, GDPR), KYC, Systems of Record (SoR), and PII protection
- Demonstrated success implementing or managing a Data Governance program
- Experience guiding organizations through Monolith-to-Microservices decomposition, including distributed data management
- Expert-level proficiency in Microsoft SQL Server, OLTP optimization, and T-SQL
- Proficiency in PostgreSQL
- Familiarity with Google BigQuery or similar cloud data warehouses
- Advanced conceptual, logical, and physical data modeling skills for relational and NoSQL paradigms
- Experience with domain-driven service architectures and distributed data consistency patterns
- Experience designing data pipelines and integration patterns, including CDC, Event-Driven Architecture, and API-based access
- Experience with ELT tools such as Dagster, Airbyte, and dbt
- Familiarity with batch orchestration tools such as Spring Batch and Spring Cloud Dataflow is highly desirable
- Familiarity with Google Cloud data platforms, including Cloud Storage, Cloud SQL, Dataflow, Cloud Composer, BigQuery, and Dataproc
- Understanding of Java and .NET database interactions through Hibernate/JPA and Entity Framework
- Proficiency with data cataloging tools, data quality suites, and metadata management platforms
- Required ability to translate complex technical data concepts into business value
- Nice-to-have: AI/ML data layers, Vector Databases, RAG patterns, feature stores, Azure or GCP data architecture certifications, modern BI tools, DAMA-DMBOK, and BIAN standardized data models
Benefits
- Full-time, permanent employment
- Hybrid work arrangement
- Office accommodation for persons with disabilities during the application process
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