Staff Data Platform Engineer

ParsylQuinte West, ON

About The Position

As a Staff Data Platform Engineer, you will architect and evolve the data platform that enables our organization to deliver reliable, data-driven insurance products and operations. You will define the technical standards and integration patterns that upstream systems follow, establish our data governance framework, and build the foundation for teams across the company to work confidently with data. In this role, you will blend your time between individual contributions and leadership with an emphasis on technical leadership that will shape how data flows through our organization—from underwriting through policy administration and claims processing systems into analytics, reporting, and machine learning workloads. You will partner closely with engineering, data science, product and business teams to translate their needs into scalable platform capabilities.

Requirements

  • 8+ years of data engineering experience
  • Strong proficiency in Python, SQL, Terraform and Go
  • Experience serving in an architect role for complex data systems
  • Deep understanding of data architecture patterns and best practices
  • Experience designing systems that enable data sharing and integration across multiple applications
  • Experience working with data governance programs, including Master Data Management and Data Quality validation
  • Strong command of modern data tools, ETL/ELT frameworks, and cloud platforms (AWS preferred)
  • Experience with data warehousing solutions and analytics databases, ideally duckdb, Motherduck, ducklake
  • Previous experience with mentorship or people management
  • Excellent communication skills and ability to collaborate across teams

Nice To Haves

  • Experience leveraging AI tooling within data pipelines
  • Experience in the insurance or financial services industry

Responsibilities

  • Design and own the evolution of our data platform, defining the technical foundation that enables reliable data integration, quality enforcement, and self-service capabilities.
  • Shape the structure and technical implementation of our data governance program, establishing the frameworks that ensure upstream teams produce trustworthy, well-managed data, including facilitating cross-team alignment on data ownership and stewardship for shared entities.
  • Research, evaluate, and recommend SaaS and open-source solutions that support the operation of the data platform and data governance program. Own the selection and implementation process to ensure tools integrate seamlessly with our platform and workflows.
  • Provide architectural guidance and technical mentorship to data engineers while partnering with software engineering teams to understand their workflows and constraints. Educate engineers on data platform considerations and integrate their needs into platform design. Foster a culture of engineering excellence, knowledge sharing, and continuous improvement across the organization.
  • Work closely with data engineering, data science/modeling, analytics, and product teams to ensure the platform serves diverse use cases—from operational reporting to advanced analytics and ML workloads.

Benefits

  • Market competitive salary with an anticipated base compensation range of $180,00-$205,000.
  • Stock options
  • 401(k) including company match
  • Medical, dental, and vision insurance effective on your start date (100% of medical, dental, and vision premiums for employees and 75% of premiums for dependents based on a solid, mid-tier plan)
  • Twelve weeks of fully paid maternity / primary parental leave
  • Six weeks of fully paid medical leave or paternity leave
  • Monthly wellness benefit
  • Unlimited vacation policy
  • Company Breaks - quarterly mental health days
  • Paid sabbatical program
  • Significant career growth opportunities and continuing education stipend
  • Commuter benefit of for public transportation or parking costs
  • Home office set-up stipend
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