ShyftLabs

ShyftLabs

Tech Lead / Solution Architect

Toronto, Ontario · Senior

Sponsorship not specified$130k-$170kDetected 79 days ago
PythonJavaNode.js.NETDistributed SystemsSQLBigQuerySnowflakeDatabricksAWSGCPAzureCloud PlatformsDevOpsAPI DevelopmentKafkaData EngineeringLLMsRAGCybersecurityBudgetingDNSLoad BalancingLeadership

About the role

  • You'll be embedded with Fortune 500 clients on programs that span data platforms, analytics, AI-enabled systems, and modern application stacks.
  • Expect to move fluidly between whiteboarding architecture in the morning, writing SQL or reviewing infrastructure code in the afternoon, and walking a client through a delivery plan or risk tradeoff later that day.

Responsibilities

  • Design end-to-end solutions spanning data pipelines, application services, and cloud infrastructure across major public clouds (GCP, AWS, Azure).
  • Make architecture decisions on data warehousing (BigQuery, Databricks, Snowflake, ClickHouse), event/streaming layers (Kafka), API design, and cloud networking (DNS, CDN, WAF, identity, load balancing).
  • Lead architecture review and enterprise governance processes.
  • Own technical delivery for client engagements: scoping, estimation, resource planning, risk tracking, and milestone management.
  • Build and maintain capacity plans and budget models across development, onboarding, and support streams
  • Run proofs of concept to validate architectural approaches, including AI/LLM integrations, RAG patterns, and data pipeline designs, before committing the team.
  • Review code, designs, and infrastructure changes
  • Build and maintain capacity plans and budget models across development, onboarding, and support streams; surface tradeoffs clearly to leadership and clients.
  • Review code, designs, and infrastructure changes; set the bar for engineering quality.
  • Guide engineers through architectural decisions and design reviews.

Nice to have

  • Experience designing high-throughput, low-latency distributed systems, real-time analytics, event-driven platforms, or high-traffic API/microservice architectures.
  • Hands-on experience with AI/LLM integrations, RAG systems, or agentic/MCP-style architectures in production.
  • Familiarity with Microsoft data stack (SQL Server, Azure SQL, Azure DevOps) alongside modern lakehouse tools.
  • Prior experience working with Fortune 500 enterprise clients in a consulting or product-services model.
  • Why You'll Love Working at ShyftLabs
  • At ShyftLabs, your work matters.
  • We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.

Skills

  • About ShyftLabs
  • Access extensive learning and development resources to keep leveling up your skills.
  • Inclusion at ShyftLabs
  • ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.

Compensation

  • Why You'll Love Working at ShyftLabs
  • At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
  • Here's what you can expect when you join our team:
  • Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
  • Downtown Toronto Office: Work in the heart of the city.
  • Inclusion at ShyftLabs

Benefits

  • We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs.
  • Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
  • We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply.

Equal opportunity

  • If you require accommodation during the interview process, let us know and we'll be happy to support you.
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This listing is sourced directly from ShyftLabs's careers page and normalized into a canonical job model.