MarTech Engineer

Hard Rock Digital•Toronto, ON

8d•Hybrid

About The Position

Hard Rock Digital is building the best online sportsbook, casino, and social gaming company in the world. We are focused on creating a team that is passionate about learning, operating, and building new products and technologies for millions of consumers. We value every customer interaction, experience, behavior, and insight, striving to act authentically. Rooted in the spirit of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital leverages a globally recognized brand in gaming, entertainment, and hospitality to expand into the digital space. Reporting to the Data Martech team, the Martech Engineer will be responsible for the event-driven aspects of our marketing data, ensuring live connections between player behavior and marketing tools operate in seconds. This role involves tracking, instrumentation, identity management, and integrations across platforms such as Segment, Braze, Amplitude, AppsFlyer, and various ad platforms. This is a digital analytics role, not a traditional data engineering one, and is suitable for candidates with at least 2 years of digital analytics or martech experience, as well as more senior candidates looking to specialize in event-driven systems.

Requirements

Minimum 2 years of professional experience in digital analytics or marketing technology (tag implementation, tracking implementation, CDP work, analytics QA, or similar).
Some exposure to a CDP (Segment, mParticle, Rudderstack, Tealium, or similar), understanding the basics of sources, destinations, and data flow.
JavaScript proficiency, comfortable writing and reading JS in tracking, tag manager, or scripting contexts.
Familiarity with REST APIs and webhooks, understanding how integrations work using API keys/OAuth, pagination, and basic error handling.
Tag management experience (GTM or similar), with a fundamental understanding of HTML, data layers, and network request tracing.
Familiarity with customer journey tracking and event flow from user action to downstream marketing tools.
Some exposure to mobile tracking and attribution (SDK integrations, deep linking, or postback configuration).
Awareness of marketing automation platforms (Braze, Iterable, or similar).
Comfort with marketing metrics and attribution concepts at a working level.

Nice To Haves

Direct Segment experience (any tier).
Exposure to other martech tools like Amplitude, or a mobile measurement partner (MMP) like AppsFlyer, Branch, or Adjust.
Experience working with React Native apps.
iOS-specific concepts (ATT, SKAdNetwork / SKAN, deferred deep linking).

Responsibilities

Help build and maintain real-time data flows through Segment, starting with out-of-the-box destinations and progressing to authoring Functions (Node.js), Sources, and custom Destinations.
Support in-session triggers, push pipelines, and webhook/postback integrations with ad and attribution platforms.
Assist with custom REST and server-to-server integrations to ad platforms (Google Ads, Meta, TikTok) and attribution providers (AppsFlyer) when standard destinations are insufficient.
Learn the server-side tag layer and the communication contract between client SDKs and downstream destinations.
Develop a working understanding of identity resolution within the CDP, including anonymous-to-known transitions, cross-device stitching, profile-merge behavior, and identifier hierarchy.
Monitor event delivery, payload integrity, and downstream propagation across Segment to Amplitude, Braze, AppsFlyer, Salesforce, and Ad Platforms.
Help maintain schema discipline for events, including versioning and backward compatibility, following established team patterns.
Triage live tracking issues such as dropped events, broken deep links, mis-attributed conversions, missing destination payloads, identity mismatches, and sync races.
Trace data end-to-end from SDK fire to CDP to destination, utilizing delivery logs, debuggers, and platform UIs.
Translate marketing, CRM, and product requirements into event-driven implementations.
Maintain documentation for event schemas, destination mappings, identity flows, and runbooks.