Solution Architect - Martech

Wynn Resorts · Las Vegas, NV, United States

  • Senior
  • Full-time
  • Posted 2026-09-18
  • Confirmed live on 25 September 2026

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Job description

Job Description
Position Summary
The Martech Solution Architect is a senior technical role within Wynn's Customer Data Platform (CDP) team, responsible for the design, development, and evolution of Wynn's custom campaign management application and the broader marketing technology ecosystem. This role combines deep data engineering and solution architecture expertise with hands-on product development capability, owning the end-to-end technical design of martech integrations, data pipelines, and application components that power guest engagement and campaign execution across Wynn Resorts!
The ideal candidate is an AI-native practitioner who actively uses AI tooling to accelerate design, development, and delivery — not as an experiment, but as a standard part of how they build. They bring full-stack awareness, strong data architecture instincts, and the engineering discipline to operate within CI/CD pipelines on GitHub. They are equally comfortable whiteboarding a solution architecture with stakeholders and writing production-quality code or data pipeline logic.
Key Competencies
Architecture Thinking

• Designs for the system, not just the ticket

• Surfaces trade-offs explicitly before committing

• Writes decisions down; does not rely on tribal knowledge
AI-Native Practice

• Uses AI tooling as a daily accelerant, not a demo

• Validates AI outputs before shipping to production

• Brings concrete AI capability proposals, not abstractions
Engineering Discipline

• CI/CD is non-negotiable, not an afterthought

• Read before write; single-purpose changes; rollback plan

• Test coverage is a delivery requirement, not optional
Communication & Leadership

• Translates architecture to business impact clearly

• Mentors without gatekeeping; elevates the team

• Surfaces blockers and risks early; does not absorb silently
Key Responsibilities
Campaign Management Application Development & Ownership

• Lead the technical design and ongoing development of Wynn's custom campaign management application — owning architecture decisions, feature delivery, and platform evolution roadmap.

• Design and implement application components across the full stack — including front-end interfaces, back-end APIs, and data integration layers — with production-quality standards for reliability, scalability, and maintainability.

• Define and enforce the application's data model and integration contracts; ensure campaign execution data flows correctly between the campaign management application, the enterprise data warehouse, and downstream martech activation platforms.

• Identify and remediate technical debt within the campaign management application; propose phased modernization initiatives with clear business impact framing for leadership review.

• Manage the application development lifecycle in GitHub — branching strategy, pull request review standards, release tagging, and deployment pipelines — in alignment with enterprise CI/CD practices.
Martech Solution Architecture

• Design end-to-end solution architectures for Wynn's martech ecosystem — spanning campaign management, customer engagement platforms, CRM integration, guest feedback systems, and enterprise data warehouse connectivity.

• Produce architecture artifacts — including C4-level component diagrams, integration sequence diagrams, data flow maps, and API design specifications — to a standard suitable for engineering handoff and executive review.

• Evaluate new martech capabilities, platforms, and integration patterns; provide structured build vs. buy vs. integrate recommendations with TCO and risk analysis.

• Define and govern integration standards for martech data flows — including payload schemas, event contracts, error handling patterns, and data latency SLAs — across the enterprise integration layer.

• Partner with the Lead Data Architect and VP to align martech solution design with the broader CDP platform strategy, data governance policies, and enterprise architecture principles.
Data Engineering & Pipeline Design

• Design and implement data pipelines that move campaign, engagement, and behavioral data between martech source systems, the enterprise data warehouse, and activation platforms — with appropriate transformation, validation, and error-handling logic.

• Define data engineering patterns for martech ingestion — including schema mapping, data quality gate design, CDC (change data capture) patterns, and idempotent load strategies — for adoption by the broader data engineering team.

• Contribute to dimensional and relational data model design for martech subject areas; ensure pipeline outputs conform to agreed grain, key, and SCD strategies documented by the data architecture team.

• Instrument data pipelines with observability — monitoring hooks, alerting thresholds, and DQ validation checkpoints — so failures surface to the CDP team before downstream impact.

• Apply disciplined engineering practices to all pipeline and schema work: read before write, si

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