Senior Data Platform Engineer
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Job Description
Senior Data Platform Engineer building and operating an integrated data platform for a fintech startup. Collaborating across teams to design scalable architecture in a competitive market.
Responsibilities:
- Design and build an integrated data platform — unify our existing tools and pipelines into a cohesive, scalable architecture that serves the entire organization.
- Own data pipelines and SLAs end to end, ensuring data moves reliably between systems with clear expectations and well-defined metrics.
- Define and manage data contracts that prevent upstream changes from breaking downstream analytics, establishing the standards the team builds on.
- Shape the data strategy and platform roadmap — research new technologies, evaluate trade-offs, and introduce tools and frameworks as the platform evolves.
- Stand up observability across the platform — robust monitoring and telemetry so teams can understand system health and troubleshoot quickly.
- Partner with Product, Compliance, and Security on data governance, balancing user needs with regulatory requirements.
- Participate in an on-call rotation to support production data systems.
Requirements:
- A track record of building and operating data platforms in fast-growing or early-stage environments — you've done this before and know what good looks like.
- Strong coding fluency in Python (preferred) and at least one of Java or Scala, with deep knowledge of relational databases (especially PostgreSQL) and hands-on experience with tools like Dagster, Airbyte, Airflow, and dbt.
- Infrastructure automation expertise — experience with Terraform, Ansible, or similar tooling, and comfort working on AWS or other major cloud platforms.
- The ability to design scalable data models and system architectures that balance performance, cost, and governance.
- A self-directed, solution-oriented approach — you're comfortable with ambiguity, propose solutions with clear trade-offs, and drive execution with minimal oversight.
- A collaborative mindset — proven experience partnering across analytics, product engineering, compliance, and security to align architecture with business objectives.
- An AI-centric workflow — you embrace AI coding assistants (such as Claude Code) as essential tools, using them to streamline repetitive work, orchestrate multi-stage tasks, and connect systems and services.
- Excellent communication skills and availability to collaborate effectively with a team.
Benefits:
- Unlimited Paid Time Off
- Work from anywhere in Canada and USA
- Health and Dental benefits
- Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
- Up to 2% matching RRSP / 401K
- Learning and Development opportunities
- Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service
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