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 hands-on expertise in 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 broader MarTech ecosystem. The architect translates business objectives into scalable designs, guides delivery from discovery through production deployment, and provides practical engineering support when needed, including SQL analysis, Python-based data processing, data modeling, pipeline troubleshooting, validation, and integration support. The role spans customer data and identity, messaging, personalization, analytics, activation, privacy, security, governance, and operational readiness. It partners with cross-functional teams and vendors to deliver maintainable, supportable enterprise solutions.

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, 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 requirements and architecture through production deployment and operational stabilization.
Strong SQL skills for analyzing large datasets, troubleshooting data issues, validating transformations, 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-based exchanges, cloud storage, and enterprise integration patterns.
Broad understanding of enterprise MarTech capabilities and integrations across CRM, analytics, web and 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 work across 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.

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 capabilities, and marketing measurement solutions such as MMF, MMM, attribution, and performance analytics within large-scale MarTech ecosystems.

Responsibilities

Architect end-to-end MarTech solutions across customer data platforms, identity, journey orchestration, email and SMS, personalization, analytics, measurement, and activation.
Own CDP and Customer 360 architecture, defining how customer, prospect, digital, transactional, behavioral, loyalty, consent, and marketing data support trusted profiles and reusable audiences.
Define email and SMS messaging architecture, including subscriber data, eligibility, preferences, consent, suppression, segmentation, triggered communications, personalization, deliverability dependencies, monitoring, and response data.
Define activation architecture for acquisition, engagement, lifecycle communications, personalization, loyalty, retention, and next-best-action use cases.
Architect digital data collection, including Adobe Web SDK, event and data-layer standards, tag management, consent enforcement, server-side collection, validation, and integration.
Design and maintain XDM schemas, datasets, field groups, identity namespaces, merge policies, profile enablement strategies, segmentation frameworks, and identity stitching approaches.
Lead future-state and transition-state architecture, assess current platforms, identify gaps and technical debt, sequence migrations, and develop modernization and legacy-retirement roadmaps.
Lead solution delivery from discovery and design through build, testing, deployment, stabilization, and operational handoff; manage dependencies, risks, decisions, outcomes, and implementation quality.
Translate business objectives into 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 teams, security, privacy, infrastructure teams, and vendors to drive delivery and resolve blockers.
Establish engineering and architecture standards for data and integrations, architecture decisions, 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 and mapping, data 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 operational support standards for ingestion, identity processing, profile updates, audience qualification, journeys, messaging, and activation.
Build privacy, consent, preference, and customer-data governance into solutions, ensuring data is handled according to enterprise security, privacy, and governance requirements.
Define and maintain security models, access controls, and compliance configurations across MarTech platforms and customer data environments.
Embed AI and agentic capabilities into the MarTech ecosystem, including personalization, next-best-action, audience intelligence, decisioning, content enablement, automation, and AI assistants, with appropriate governance.
Evaluate MarTech platforms and emerging capabilities based on business fit, architectural alignment, scalability, integration complexity, implementation effort, operating cost, licensing, and maintainability.
Maintain architecture diagrams, data flows, interface specifications, design decisions, operational procedures, and technical standards.