Solution Architect - Martech

Wynn Resorts • Las Vegas, NV

34d

About The Position

The Martech Solution Architect is a senior technical role on Wynn's Customer Data Platform (CDP) team. The role is responsible for the design, development, and evolution of Wynn's custom campaign management application and broader marketing technology ecosystem. It combines data engineering and solution architecture expertise with hands-on product development, owning end-to-end technical design for martech integrations, data pipelines, and application components that support guest engagement and campaign execution across Wynn Resorts.

The role calls for an AI-native practitioner who uses AI tooling as a standard part of design, development, and delivery, and who validates AI outputs before production use. The architect brings full-stack awareness and strong data architecture instincts, works within GitHub CI/CD pipelines, and is comfortable both discussing solution architecture with stakeholders and producing production-quality code or data pipeline logic.

The architect leads the campaign management application's technical design, feature delivery, and evolution; designs end-to-end martech architectures and integration standards; and designs and implements data pipelines and data models. The role also develops AI-assisted product capabilities, owns CI/CD and engineering governance for the application and integrations, translates business requirements into delivery-ready specifications, works with vendors and stakeholders, documents architecture decisions, and mentors CDP team members.

Requirements

• At least six years of experience in solution architecture, data engineering, or senior software engineering roles, including at least two years in a martech, CRM, or customer data platform context.
• Demonstrated experience designing and delivering production applications or data platforms end-to-end, from architecture through deployment, in a cloud-native environment; Azure is preferred.
• Strong data architecture skills, including dimensional modeling, integration pattern design, API contract definition, and data quality framework development.
• Hands-on Snowflake experience, including pipeline design, schema development, query optimization, data sharing, and external function patterns in a production data warehouse.
• Hands-on Databricks experience building and operating data engineering workloads with PySpark or SQL notebooks, Delta Lake, and Unity Catalog in an Azure-hosted environment.
• Hands-on experience with Azure Data Factory, Azure Functions, Azure Event Hubs, and Azure Blob Storage for orchestration, event-driven processing, and large-scale data movement.
• Experience with Apache Airflow or an Azure-managed equivalent for workflow orchestration, including DAG design, dependency management, scheduling, and operational monitoring.
• Full-stack development awareness and ability to design and contribute to front-end interfaces, back-end APIs, and data integration layers, with direct coding experience in at least two tiers.
• Hands-on GitHub experience with source control, CI/CD pipeline configuration using GitHub Actions or equivalent, pull request workflows, and release management.
• Demonstrated AI-native working practice, including active professional use of AI coding assistants, code generation tools, or LLM-based development workflows.
• Experience designing integrations between campaign management, CRM, marketing automation, or customer engagement platforms and enterprise data platforms.
• Strong written and verbal communication skills, including producing architecture diagrams and design documents and presenting to VP and executive audiences.
• Comfort with Agile/Scrum delivery, including User Story authoring, sprint planning participation, and backlog management within ADO or an equivalent framework.

Nice To Haves

• Direct experience building or evolving a custom campaign management, marketing orchestration, or customer engagement application.
• Experience designing or implementing AI-assisted product features such as recommendation engines, intelligent segmentation, natural-language interfaces, or LLM-powered workflows in a production martech or CDP context.
• Familiarity with hospitality or gaming data domains, including guest profiles, loyalty programs, player development, hotel operations, or reinvestment analytics.
• Experience with enterprise integration platforms such as MuleSoft, Azure API Management, or equivalent for martech and CRM data flow orchestration.
• Knowledge of infrastructure-as-code tools such as Bicep or Terraform for Azure-hosted application and data platform components.
• Experience with observability tooling for application monitoring, pipeline alerting, and data quality dashboards in a production data engineering context.

Responsibilities

• Lead technical design and ongoing development of Wynn's custom campaign management application, including architecture decisions, feature delivery, and platform evolution planning.
• Design and implement full-stack application components, including front-end interfaces, back-end APIs, and data integration layers, to production-quality standards.
• Define and enforce application data models and integration contracts, ensuring campaign execution data flows correctly to and from the enterprise data warehouse and downstream martech activation platforms.
• Identify and remediate technical debt and propose phased modernization initiatives with clear business impact framing.
• Manage the application development lifecycle in GitHub, including branching strategy, pull request review standards, release tagging, and deployment pipelines.
• Design end-to-end solution architectures for the martech ecosystem, spanning campaign management, customer engagement platforms, CRM, guest feedback systems, and enterprise data warehouse connectivity.
• Produce architecture artifacts such as C4-level component diagrams, integration sequence diagrams, data flow maps, and API design specifications.
• Evaluate martech capabilities, platforms, and integration patterns, and provide build-versus-buy-versus-integrate recommendations with total cost of ownership and risk analysis.
• Define and govern integration standards, including payload schemas, event contracts, error handling patterns, and data latency SLAs.
• Align martech solution design with CDP strategy, data governance policies, and enterprise architecture principles in partnership with the Lead Data Architect and VP.
• Design and implement data pipelines moving campaign, engagement, and behavioral data between martech systems, the enterprise data warehouse, and activation platforms.
• Define martech data engineering patterns for schema mapping, data quality gates, change data capture, and idempotent loads.
• Contribute to dimensional and relational data model design for martech subject areas and ensure pipeline outputs conform to agreed grain, key, and SCD strategies.
• Instrument pipelines with monitoring, alerting thresholds, and data quality checkpoints so failures are surfaced before downstream impact.
• Apply disciplined engineering practices to pipeline and schema work, including documented rollback steps and peer review before production deployment.
• Use AI coding assistants, code generation tools, and LLM-based workflows to accelerate application feature delivery and martech prototyping.
• Design and prototype AI-assisted capabilities such as campaign recommendations, audience segmentation assistance, and natural-language campaign configuration.
• Define responsible AI integration patterns, including prompt design, output validation, hallucination guardrails, and human review workflows where required.
• Stay current with AI tooling relevant to martech, campaign management, and data engineering, and bring concrete capability proposals to the VP and Lead Data Architect.
• Own and maintain GitHub CI/CD pipeline configuration, including automated test gates, linting, build validation, environment promotion, and deployment automation.
• Define and enforce branching conventions, pull request standards, code review practices, and release management processes for the martech engineering workstream.
• Implement unit, integration, and regression test coverage for the campaign management application as part of the CI pipeline, and set and maintain coverage thresholds for production-bound code.
• Participate in infrastructure-as-code practices for cloud-hosted martech components and ensure environment configuration is version-controlled and reproducible.
• Champion engineering quality through code reviews, documentation standards, and knowledge transfer for architectural decisions.
• Translate business requirements into technical specifications, acceptance criteria, and sprint-ready User Stories within the team's ADO delivery framework.
• Serve as the primary technical contact for martech vendors and integration partners, evaluating APIs, reviewing technical documentation, and negotiating integration design.
• Communicate architecture decisions and trade-offs to technical and non-technical stakeholders and create written decision records for significant architectural choices.
• Mentor junior engineers and analysts on architecture, engineering discipline, AI tooling, and CI/CD practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed