Related skills
bigquery node.js snowflake python databricks📋 Description
- Design end-to-end data pipelines, apps, and cloud infra across GCP/AWS/Azure.
- Make architecture decisions on data warehousing, streaming, APIs, and networking.
- Lead architecture reviews and governance processes.
- Produce diagrams, data flows, integration specs, and decision records.
- Own technical delivery for client engagements: scoping, estimation, planning, risk management.
- Write production-grade code and SQL when needed; debug queries and deployments.
🎯 Requirements
- 7+ years of software/data engineering, with 3+ years in a tech lead/solution architect/delivery lead role.
- Cloud-agnostic experience across two+ of GCP, AWS, Azure, including networking, identity, compute, data services, CI/CD.
- Strong data engineering and SQL fluency; experience with BigQuery, Databricks, Snowflake, or ClickHouse; batch and streaming pipelines (Kafka).
- Comfort across multiple stacks (Node.js, Python, Java, .NET); ability to read code and reason about design.
- Track record leading client-facing delivery: scoping, estimation, resource/budget planning, stakeholder comms.
- Experience leading architecture review and enterprise governance forums (ARB, InfoSec, security/compliance).
🎁 Benefits
- Hybrid work with three days per week in Toronto office.
- Downtown Toronto office access.
- Comprehensive health, dental, and vision insurance for you and dependents.
- Growth and learning resources to advance your skills.
- Inclusive, equal-opportunity culture and support for accommodation during interviews.
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