Senior Data Platform Engineer

Wrapbook
CA
Remote

Who this role is best for

Best suited to senior engineers with data platform experience who thrive in green-field projects and cross-functional collaboration, working remotely in Canada.

Best fit for

  • Senior engineers who have built data platforms in fast-growing environments.
    — “A track record of building and operating data platforms in fast-growing or early-stage environments
  • Candidates comfortable balancing immediate needs with long-term architecture.
    — “the challenge of balancing immediate needs with long-term architecture
  • Engineers who embrace AI tools for coding and system orchestration.
    — “An AI-centric workflow — you embrace AI coding assistants

Things to consider

  • Participation in an on-call rotation is required.
    — “Participate in an on-call rotation to support production data systems
  • Work is primarily platform engineering with some data engineering.
    — “The work is roughly 80% platform engineering and 20% data engineering

How to stand out

  • Demonstrate experience with end-to-end ownership of data platforms.
    — “own the end-to-end design, build, and operation of a unified data platform
  • Highlight cross-functional collaboration with compliance and security teams.
    — “partnering closely with Product Engineering, Analytics, Compliance, and Security
  • Showcase your approach to scalable data model design.
    — “The ability to design scalable data models and system architectures
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and build an integrated data platform
  • own data pipelines and SLAs end to end
  • define and manage data contracts
  • stand up observability across the platform
Typical background
track record of building and operating data platformsstrong coding fluency in Python

Skills & requirements

Required

PythonJavaScalaPostgreSQLDagsterAirbyteAirflowdbtTerraformAnsible

Preferred

Data GovernanceObservabilityData ContractsData Strategy

Stack & domain

PythonJavaRubyC#JavaScriptReactScalaPlayPostgreSQLAWSDagsterAirbyteAirflowdbtTerraformAnsibleData PlatformData PipelinesData ContractsData GovernanceObservabilityMonitoringTelemetryData StrategyPlatform RoadmapData ModelsSystem ArchitecturesInfrastructure AutomationCloud PlatformsData EngineeringData Platform EngineeringData Platform OperationData Platform DesignData Platform BuildData Platform SlasData Platform ObservabilityData Platform MonitoringData Platform TelemetryData Platform GovernanceData Platform ComplianceData Platform SecurityData Platform PerformanceData Platform CostData Platform StandardsData Platform MetricsData Platform ExpectationsData Platform HealthData Platform TroubleshootingData Platform System HealthData Platform Trend DetectionData Platform Regression DetectionData Platform User Experience OptimizationData Platform Model DevelopmentData Platform Model ValidationData Platform Data VisualizationData Platform Geospatial Data RepresentationData Platform Technical CommunicationData Platform Problem-solvingData Platform Self-starterData Platform EnergyData Platform CommunicationData Platform Attention To DetailData Platform ProactiveData Platform Google SuiteData Platform Calendar ManagementData Platform Document EditingData Platform OrganizationData Platform Travel BookingData Platform AccommodationData Platform Expense ReportingData Platform Office EventsData Platform Supply ManagementData Platform Building ManagementData Platform Special ProjectsData Platform Administrative TasksData Platform Strategic TasksLeadershipCommunicationStrategic ThinkingProblem-solvingTeam CollaborationProject ManagementCustomer EngagementTechnical ExpertiseBusiness AcumenStrategic PlanningValue AssessmentBusiness Case DevelopmentRoadmap CreationValue RealizationProcess ImprovementWorkshop FacilitationTechnical ExecutionRequirements GatheringSystem Health MonitoringTrend DetectionRegression DetectionUser Experience OptimizationModel DevelopmentModel ValidationData VisualizationGeospatial Data RepresentationTechnical CommunicationSelf-starterEnergyAttention To DetailProactiveGoogle SuiteCalendar ManagementDocument EditingOrganizationTravel BookingAccommodationExpense ReportingOffice EventsSupply ManagementBuilding ManagementSpecial ProjectsAdministrative TasksStrategic TasksProject EconomyFlexibilityCollaborationAi Coding ToolsAi-native Software DevelopmentMulti-sessionAgent-driven WorkflowsFrontend FeaturesChakraStorybookModern State ToolsInternal ToolingPromptsEngineering SystemsPerformance OptimizationFrontendBackendAi-assisted PipelinesBest Practices

About the role

Original posting from Wrapbook via Ashby

About Us

Our mission at Wrapbook is to increase the prosperity of the project economy. A significant shift has occurred within the workforce recently and 50M Americans are now engaged in freelance or project-based work.  The popularity of project based employment has introduced flexibility for both employers and employees but also added complexities from a compensation and administrative standpoint.  Our vertical fintech platform enables companies to seamlessly onboard, pay and insure their workforces.

We’re building the best product for the entertainment industry but operate in a 50B market and have big goals we want to achieve.  With legacy competition slow to react and over 30M raised from Andreessen Horowitz, Equal Ventures, Uncork Capital,  Jeffrey Katzenberg and CAA co-founder Michael Ovitz, we are at an exciting stage of growth and there isn’t a better time to join!

THE OPPORTUNITY — (REMOTE - CANADA)

We are looking for a Senior Data Platform Engineer who will own the end-to-end design, build, and operation of a unified data platform at Wrapbook. Today we have pieces of a data platform in place, but nothing that ties everything together in a scalable, cohesive way. This is a green-field opportunity for someone who has built data platforms before and is energized by cross-functional collaboration and the challenge of balancing immediate needs with long-term architecture. The work is roughly 80% platform engineering (infrastructure, tooling, automation) and 20% data engineering (pipelines and transformations), partnering closely with Product Engineering, Analytics, Compliance, and Security.

WHAT YOU'LL DO

  • 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.

WHAT YOU'LL HAVE

  • 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.

WHY JOIN US

At Wrapbook, creativity meets technology — and not just in the product.

In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts Benefits include:

  • 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

Our Pledge to Fostering an Inclusive and Safe Workplace:

Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.

Apply Now

Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!

#LI-Remote

Source: Wrapbook careers (Ashby)

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