MarTech Architect

Signet Jewelers•Akron, OH

About The Position

Signet Jewelers is seeking a highly skilled MarTech Architect to lead the architecture, delivery, governance, and evolution of enterprise marketing technology capabilities. The role calls for broad, hands-on expertise across Adobe Experience Platform (AEP), Adobe Real-Time Customer Data Platform (RTCDP), and Adobe Journey Optimizer (AJO), alongside the ability to connect customer data, decisioning, journey orchestration, analytics, and activation across the wider MarTech ecosystem. The architect translates business objectives into scalable solution designs, guides delivery from discovery through production deployment, and performs targeted data-engineering work when needed. The role owns architecture for customer data platforms, Customer 360, messaging, lifecycle activation, digital data collection, identity, data governance, and integrations. It leads current- and future-state architecture and modernization roadmaps, establishes engineering and architecture standards, and partners with cross-functional teams and vendors to deliver reliable, supportable solutions. The architect also contributes hands-on SQL and Python work, data modeling and pipeline support, privacy and security by design, operational monitoring, and responsible use of AI-enabled marketing capabilities.

Requirements

At least 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 covering journey and campaign architecture, event- and audience-based orchestration, decisioning, channel configuration, and integration dependencies.
Demonstrated delivery of complex MarTech or data-platform initiatives from requirements and architecture through production deployment and operational stabilization.
Strong SQL skills for large-dataset analysis, data troubleshooting, transformation validation, and reviewing or optimizing complex queries.
Working proficiency in Python for data engineering, automation, validation, transformation, or troubleshooting.
Strong experience with data modeling, data mapping, data transformation, and batch and real-time data pipeline patterns.
Experience with cloud data and integration services; AWS services such as S3, Redshift, Glue, and Lambda are preferred within this requirement.
Experience designing integrations using APIs, streaming events, file exchanges, cloud storage, and enterprise integration patterns.
Broad understanding of 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 to explain technical concepts to business stakeholders and translate business needs into actionable technical designs.
Ability to influence cross-functional teams and vendors without relying solely on direct authority.
Able to balance speed, scalability, governance, security, and long-term platform maintainability; challenge unclear requirements or fragile technical approaches and propose workable alternatives.

Nice To Haves

Adobe AEP, RTCDP, AJO, or related Adobe certifications.
Experience with CI/CD, automated testing, infrastructure as code, release automation, or DevOps practices for MarTech and data platforms.
Experience with data orchestration tools and enterprise data platforms such as Snowflake or Databricks.
Experience with identity resolution, customer preference management, consent, and privacy regulations such as GDPR and CCPA.
Retail, eCommerce, loyalty, or large-enterprise customer-data and personalization experience.
Experience working with systems integrators, managed-service providers, and complex vendor delivery models.
Experience designing and implementing enterprise Customer 360, ESP/email and SMS messaging, AI-enabled marketing, and marketing measurement solutions (MMF, MMM, attribution, and performance analytics) in large-scale MarTech ecosystems.

Responsibilities

Architect end-to-end MarTech solutions across customer data, CDP, identity, journey orchestration, email/SMS, personalization, analytics, measurement, and activation, including AEP, RTCDP, AJO, Customer Journey Analytics, and Adobe Target.
Own CDP and Customer 360 architecture, bringing customer, prospect, digital, transactional, behavioral, loyalty, consent, and marketing data together into trusted profiles and reusable audiences.
Define email and SMS messaging architecture, including customer and subscriber data, eligibility, preferences, consent, suppression, segmentation, triggered communications, audience synchronization, personalization, deliverability dependencies, monitoring, and response data.
Define customer-lifecycle activation architecture for acquisition, engagement, lifecycle communications, personalization, loyalty, retention, and next-best-action use cases across owned channels.
Architect digital data collection, including Adobe Web SDK, event and data-layer standards, tag management, consent enforcement, server-side collection, validation, and ecosystem integration.
Design and maintain XDM schemas, datasets, field groups, identity namespaces, merge policies, profile enablement strategies, segmentation frameworks, and identity-stitching approaches.
Lead current-, transition-, and future-state MarTech architecture; assess platforms, identify gaps and technical debt, plan modernization and migration sequencing, and support legacy-platform retirement.
Lead solution delivery from discovery and design through build, testing, deployment, stabilization, and operational handoff; manage dependencies, risks, decisions, technical outcomes, and implementation quality.
Translate business objectives into target-state architecture, solution designs, delivery plans, technical requirements, integration patterns, guardrails, and engineering standards.
Partner with product owners, project managers, business analysts, engineers, marketing users, analytics, security, privacy, infrastructure teams, and vendors to drive delivery and resolve blockers.
Establish architecture and engineering standards for data and integration patterns, decision records, schema governance, naming and taxonomy, APIs, CI/CD, environments, automated testing, observability, reconciliation, production readiness, and support.
Define scalable batch, streaming, event-driven, and API-based ingestion and activation patterns across cloud platforms, enterprise systems, and Adobe technologies.
Perform hands-on SQL analysis and optimization, Python automation and validation, data profiling, mapping, modeling, transformation, integration troubleshooting, data-quality remediation, and pipeline support as needed.
Develop and maintain conceptual, logical, and physical data models for customer profiles, digital interactions, marketing events, audiences, personalization, analytics, and activation.
Define monitoring, observability, alerting, reconciliation, and support standards for ingestion, identity processing, profile updates, audience qualification, journeys, messaging, and activation workflows.
Embed privacy, consent, preference, security, and customer-data governance requirements into data collection, resolution, governance, retention, and activation; define platform security models, access controls, and compliance configurations.
Embed AI and agentic capabilities in the MarTech ecosystem, including personalization, next-best-action, audience intelligence, decisioning, content enablement, automation, and AI assistants, with responsible-use governance.
Evaluate MarTech platforms and emerging capabilities against business fit, architecture, scalability, integration complexity, implementation effort, operating cost, licensing, and maintainability.
Maintain architecture diagrams, data flows, interface specifications, design decisions, operational procedures, and technical standards.
Design and implement enterprise Customer 360, email/SMS messaging, AI-enabled marketing, and measurement solutions, including MMF, MMM, attribution, and performance analytics.