Tech Lead / Solution Architect

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.

Produce architecture diagrams, data flow diagrams, integration specs, and decision records that engineering and client teams can actually use.

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; surface tradeoffs clearly to leadership and clients.

Translate ambiguous business asks into structured workstreams with clear ownership and dependencies.

Write production-quality code and SQL when needed, this role is not purely advisory. Expect to debug a BigQuery or Databricks query, fix a CI pipeline, set up cloud networking, or unblock a deployment.

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; set the bar for engineering quality.

Act as a senior technical voice in client meetings, explaining decisions, defending tradeoffs, and pushing back constructively when scope or assumptions need to change.

Coordinate with external vendors, consultants, and client-side engineering, product, and security teams.

Communicate concisely in writing and on calls; tailor depth and tone to the audience.

Guide engineers through architectural decisions and design reviews.

Coordinate across globally distributed teams and time zones (Toronto, India).

Champion best practices around code quality, testing, observability, and documentation.