MarTech Architect

🔥 8 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⚙️ Marketing Operations

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Signet Jewelers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1949

🛒 Retail

🛍️ eCommerce

👗 Fashion

Retail • eCommerce • Fashion

Signet Jewelers is the world's largest retailer of diamond jewelry, with a focus on bringing quality jewelry that expresses love and inspires trust among customers. The company owns several well-known brands such as Kay Jewelers, Zales, Jared, and Blue Nile, offering a wide range of fine jewelry and customizable designs. They emphasize sustainability and responsible sourcing in their operations. Signet aims to help people celebrate life and express love through their products while promoting human rights and preserving the environment. They have a strong market presence in the United States, Canada, and the UK.

📋 Description

• Architect end-to-end MarTech solutions across CDP, customer data, identity, journey orchestration, email/SMS, personalization, analytics, measurement, and activation • Own CDP and Customer 360 architecture, defining trusted customer profiles and reusable audiences • Define ESP and customer messaging architecture across email and SMS • Define activation architecture across the customer lifecycle, including acquisition, engagement, personalization, loyalty, and retention • Architect digital data collection using Adobe Web SDK, event and data-layer standards, tag management, consent enforcement, server-side collection, and validation • Design and maintain XDM schemas, datasets, field groups, identity namespaces, merge policies, profile enablement, segmentation, and identity stitching • Lead future-state and transition-state architecture, modernization roadmaps, migration sequencing, and legacy-platform retirement • Lead solution delivery from discovery and design through build, testing, deployment, stabilization, and operational handoff • Translate business objectives into architecture, solution designs, delivery plans, technical requirements, integration patterns, and engineering standards • Partner with product, project, business, engineering, marketing, analytics, security, privacy, infrastructure, and vendor teams • Establish MarTech engineering and architecture standards, governance, CI/CD, testing, observability, reconciliation, and production-readiness practices • Define batch, streaming, event-driven, and API-based ingestion and activation patterns • Perform hands-on SQL analysis, Python automation and validation, data profiling, mapping, modeling, transformation, troubleshooting, and pipeline support • Develop and maintain data models supporting customer profiles, digital interactions, marketing events, audiences, personalization, analytics, and activation • Define monitoring, alerting, reconciliation, and operational support standards • Drive privacy, consent, preference, security, compliance, and customer-data governance by design • Embed AI and agentic capabilities into personalization, next-best-action, audience intelligence, decisioning, content enablement, automation, and AI assistants • Evaluate MarTech platforms and emerging capabilities and recommend solutions based on fit, scalability, complexity, cost, licensing, and maintainability • Maintain architecture diagrams, data flows, interface specifications, design decisions, operational procedures, and technical standards

🎯 Requirements

• 7+ years of experience in MarTech architecture, customer data platforms, enterprise data architecture, solution architecture, or closely related roles • Deep, hands-on experience designing and implementing enterprise solutions with Adobe Experience Platform (AEP), Adobe Real-Time Customer Data Platform (RTCDP), and Adobe Journey Optimizer (AJO) • Strong expertise in XDM schema design, datasets, field groups, identities, namespaces, merge policies, Real-Time Customer Profile, segmentation, and audience activation • Strong AJO experience, including journey and campaign architecture, event- and audience-based orchestration, decisioning, channel configuration, and integration dependencies • Demonstrated experience delivering complex MarTech or data-platform initiatives from initial requirements and architecture through production deployment and operational stabilization • Strong SQL skills, including analyzing large datasets, troubleshooting data issues, validating transformations, and reviewing or optimizing complex queries • Working proficiency in Python for data engineering, automation, data validation, transformation, or troubleshooting use cases • Strong experience with data modeling, data mapping, data transformation, and batch and real-time data pipeline patterns • Experience with cloud data and integration services, preferably AWS services such as S3, Redshift, Glue, Lambda, and related orchestration or monitoring capabilities • Experience designing integrations using APIs, streaming events, file-based exchanges, cloud storage, and enterprise integration patterns • Broad understanding of enterprise MarTech capabilities and integrations across CRM, analytics, web/mobile, email, SMS, paid media, personalization, customer service, and consent or preference management • Experience defining or enforcing architecture standards, governance, data quality, monitoring, observability, privacy, and security controls • Strong problem-solving skills and ability to move between strategic architecture, detailed solution design, and hands-on delivery support • Strong communication skills, including explaining complex technical concepts to business stakeholders and translating business needs into actionable technical designs • Ability to influence cross-functional teams and vendors without relying solely on direct authority • Preferred: Adobe AEP, RTCDP, AJO, or related Adobe certifications; CI/CD, automated testing, infrastructure as code, release automation, or DevOps; data orchestration and platforms such as Snowflake or Databricks; identity resolution, consent, privacy regulations such as GDPR and CCPA; retail, eCommerce, loyalty, or large-enterprise customer-data experience; systems integrators, managed-service providers, and complex vendor delivery models

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