Senior Data Architect
VirtusaJobsCloseBy Editorial Insights
Virtusa is hiring a Senior Data Architect to lead a Data Mesh program anchored in Snowflake, with data treated as a product and ownership distributed across domains. Expect to shape state logical models, implement Raw to Curated to Data Products layering, and build a self-serve platform with federated governance. You will govern storage across S3, Azure Blob, or GCS and run independent compute clusters while guiding metadata and security services. The ideal candidate aligns enterprise data strategy with the CleanSlate vision and partners across stakeholders on a roadmap. Required: deep Data Mesh and Snowflake experience, strong data modeling, data as product, federated governance, and payments systems exposure. To apply, tailor your resume to show cross-domain ownership, governance outcomes, and discuss Toronto onsite execution.
Description
Data Architect
Location PCS CA~TORONTO
Years of Experience 15-30 Years
Job Summary We are seeking an experienced Data Architect to lead the design and implementation of a Data Mesh framework, focusing on Snowflake architecture and logical data layering. The ideal candidate will drive decentralized data ownership, ensuring data is treated as a product that is discoverable, addressable, and trustworthy. This role requires a strategic thinker who can align our enterprise data strategy with the CleanSlate vision, stripping away legacy constraints to create a future-state architecture.
Responsibilities
- Design and implement a Data Mesh framework, ensuring decentralized data ownership across domains.
- Develop and maintain Snowflake architecture, focusing on target-state logical modeling and data layering (Raw → Curated → Data Products).
- Establish a self-serve platform that empowers domains to manage their own data.
- Implement federated governance to enforce global standards across local domains.
- Oversee the storage layer, ensuring data is stored in a proprietary, columnar, compressed format in the cloud (S3, Azure Blob, or GCS).
- Manage the compute layer, utilizing independent clusters of compute resources for efficient query processing.
- Lead the cloud services layer to handle authentication, metadata, query optimization, and security.
- Align enterprise data strategy with business objectives, ensuring all technological choices support desired outcomes.
- Collaborate with stakeholders to develop a roadmap for CleanSlate vision alignment.
Mandatory Skills
- Extensive experience with Data Mesh frameworks and Snowflake architecture.
- Proven expertise in logical data modeling and logical data layering.
- Strong understanding of decentralized data ownership and data as a product principles.
- Experience in cloud storage solutions (S3, Azure Blob, GCS) and columnar data formats.
- Familiarity with federated governance and enterprise data strategy development.
- Deal breaker Experience in payments systems.