You will own the end-to-end architecture and implementation of the Snowflake data platformfrom landing zone design and security to ingestion modeling performance and operational excellence. Youll partner with engineering analytics security and business stakeholders to deliver governed cost-efficient and scalable data products for BI and AI/ML.
What youll do
Platform architecture & build
. Design the Snowflake landing zone (org/accounts environments network storage integrations external stages) and baseline patterns for Dev/Test/Prod.
. Establish RBAC (roles warehouses databases schemas) tagging/classification and naming standards.
. Implement secure connectivity (e.g. PrivateLink/privatelink-equivalents key management OAuth/OIDC/SAML SSO).
. Define data contracts and domain boundaries for shared/reusable data products.
Ingestion modeling & pipelines
. Stand up batch/streaming ingestion from SaaS operational DBs and event buses (e.g. Openflow CDC Kafka Snowpipe/Snowpipe Streaming).
. Lead warehouse-friendly ELT patterns (dbt or SQL) including dynamic tables materialized views and star/medallion models.
. Build a feature store or ML-ready zones with Snowpark/UDFs where applicable.
Governance security & privacy
. Implement row access and masking policies PII handling retention and audit logging aligned to regulatory needs.
. Integrate with catalog/lineage tools; enforce data quality (tests SLAs/SLIs) and contract testing in CI.
Performance reliability & FinOps
. Tune warehouse sizing auto-suspend/auto-resume multi-cluster caching and clustering strategies.
. Monitor credit consumption and storage costs; set budgets/alerts and optimization playbooks.
. Define SLOs for freshness reliability and query performance; reduce MTTR via runbooks and on-call rotation.
Ways of working
. Build CI/CD for SQL/dbt/infra (Git-based workflows Terraform Snowflake provider).
. Coach engineers/analysts; run enablement sessions and documentation.
. Evaluate the add-ons (e.g. ingestion observability BI)
Must-have
. 812 years in data engineering/architecture; 3 years designing Snowflake at scale.
. Expert SQL and ELT modeling; hands-on with dbt / Openflow (or equivalent) and pipeline orchestration (e.g. Airflow cloud schedulers).
. Strong cloud background (Azure/AWS) including object storage IAM networking and secrets management.
. Proven implementation of RBAC masking/row policies and compliance-aligned governance.
. Experience with CI/CD (GitHub Actions/Azure DevOps/GitLab) and Terraform.
. Clear communicator able to translate technical trade-offs to executives and coach delivery teams.
Nice-to-have
. SnowPro Core and SnowPro Advanced: Architect certifications.
. Streaming/CDC tools (e.g. Kafka Debezium Qlik/Attunity Fivetran Matillion).
. Observability (Query Profile Resource Monitors usage views) incident response.
. BI tools (Power BI Tableau) and semantic layers.
. Data catalog/lineage and Quality (Atlan Alation Monte-Carlo).
. Exposure to ML workloads with Snowpark and/or external compute.
#LI-SH1
Use of the term architect in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices architecture or possesses the requisite license as prescribed by the applicable provincial or territorial architect regulator. We are seeking individuals with expertise in IT architect-related functions but licensure from an architect regulator is not a prerequisite for this position. Architecture is a regulated profession in Canada which is restricted in terms of use of titles and designation.
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You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
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