Solution Architect

Indigo Beam • Houston, TX

3d

About The Position

This Solution Architect role sits within the client’s Architecture team and supports its Mobility and Retail business in the Americas. The focus is Connected Customer, Marketing, Data, Analytics and AI, as well as solution and integration architecture. The architect translates business strategies and customer needs into scalable architectures aligned with enterprise standards, design principles, data policies and technology strategy.

The role shapes connected, insight-driven customer experiences across mobility, retail, loyalty, digital channels and marketing. It works across business, product, data, marketing, digital, country and technology teams to design customer and marketing capabilities as connected, reusable and insight-driven services. The position reports to the Lead Architect.

The engagement is a contract of approximately eight weeks (296 hours) at 40 hours per week, with immediate joining. The location is Houston, Texas. Visa-independent candidates are sought.

Requirements

• At least 10 years of experience in technology, including at least 5 years in a Solution, Enterprise, Data or Integration Architect role.
• Proven experience designing customer-facing architectures across CRM, loyalty, marketing automation, personalisation, digital channels or retail; multi-country or B2C experience is ideal.
• Strong knowledge of customer data concepts, including Customer 360, customer identity resolution, consent and preference management, segmentation and Customer Data Platforms (CDPs).
• Hands-on experience with marketing technology platforms such as Salesforce Marketing Cloud, Data Cloud or Service Cloud; Adobe Experience Platform; Braze; Segment; or similar.
• Solid experience in data, analytics and AI architecture, including data products, semantic models, data lakehouse patterns, machine learning and generative AI use cases.
• Hands-on experience with Microsoft Azure and Databricks, including cloud-native data, integration and analytics services.
• Strong integration architecture experience, including APIs, event-driven architecture, messaging, ETL/ELT and integration platforms such as Azure Integration Services, MuleSoft or Kafka.
• Working knowledge of data governance and information management, including metadata, lineage, data quality, master data, retention and responsible customer-data use.
• Solid understanding of privacy and data protection regulations such as GDPR, CCPA and LGPD, and how they affect customer and marketing solution design.
• Experience with security and identity concepts, including IAM, CIAM, authentication, authorisation and data protection controls.
• Practical experience using generative AI and automation in architecture or delivery work, such as prompts, templates, scripts or workflow tools.
• Ability to produce clear architecture artefacts, including solution designs, architecture models, decision records, interface specifications and data mappings.
• Familiarity with architecture frameworks and methods such as TOGAF, ArchiMate, C4 or similar.
• Proven ability to work in complex, matrixed organisations and influence senior stakeholders across business, technology, country and partner teams.
• Strong communication skills, including explaining technical concepts to non-technical audiences and translating business strategy into technical direction.
• Fluent written and spoken English.
• Visa-independent work authorization.

Responsibilities

• Translate customer, business, marketing and operational requirements into solution architectures, architecture models, documentation and decision records for products, projects and platforms.
• Shape architectures for connected customer journeys across digital channels, retail sites, loyalty, CRM, marketing activation, personalisation, customer service and partner ecosystems.
• Define how customer identity, consent, preferences, behavioural data, transaction data and campaign interactions are connected and responsibly used.
• Design reusable customer and marketing capabilities, including customer profiles, segmentation, loyalty, offers, campaign orchestration, personalisation, customer analytics and measurement.
• Architect data, analytics and AI solutions, including trusted data products, semantic models, Customer 360 capabilities, advanced analytics, machine learning and generative AI.
• Design customer and marketing solutions that provide consistent experiences across countries while accommodating local propositions, regulatory requirements, partner models and channel needs.
• Assure standards conformance, security, privacy, consent, supportability, value and affordability, particularly for customer-data and marketing-activation solutions.
• Design solutions using Azure, enterprise data platforms, Databricks and cloud-native data and integration technologies.
• Apply data governance and information management practices covering metadata, lineage, quality, discoverability, retention, consent and responsible customer-data use.
• Define integration patterns across customer, loyalty, marketing, digital, retail, payment, CRM, data and partner platforms.
• Assess opportunities to reuse existing platforms, enterprise services, data products and integration patterns before introducing new technology or capabilities.
• Use AI-enabled architecture practices and automation to accelerate repeatable deliverables, including solution options, architecture models, decision records, data mappings, interface specifications, requirements traceability, test scenarios and governance evidence.
• Identify opportunities to automate architecture and delivery activities using generative AI, APIs, scripts, workflow tools and reusable templates.
• Apply human review and appropriate governance when AI is used to analyse business information or generate architecture artefacts, considering security, privacy, confidentiality, traceability and accuracy.
• Help teams adopt practical AI-assisted ways of working through reusable prompts, patterns, templates and automation approaches.
• Work across country, business-partner and application landscapes to identify dependencies, capability gaps, integration constraints and opportunities to simplify the customer and marketing ecosystem.
• Collaborate with Customer, Marketing, Loyalty, Digital, Data, Analytics, Product, Architecture, Engineering, Security, Privacy, Country, Application Hosting, Solution Architecture and Identity & Access Management teams to align priorities, resolve design decisions and support delivery and operation.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed