Principal Solution Architect

We are seeking a highly experienced and hands-on Principal Solution Architect to join Acxiom’s Data & AI Consulting practice. This role is central to delivering enterprise-scale marketing transformation programs, with a focus on building modern marketing data platforms, enabling campaign execution, and structuring customer data for activation and measurement. You will lead the design and implementation of end-to-end marketing data ecosystems spanning data ingestion, modeling, identity-aware customer data design, campaign orchestration, and measurement. This includes establishing scalable data foundations (Snowflake, Databricks), defining how data supports real marketing workflows, and ensuring it is usable for both BI and AI-driven use cases. This is not a generic enterprise architecture role. Success requires a deep understanding of how marketing operates in practice, including campaign execution, audience targeting, suppression logic, and measurement frameworks, and the ability to translate that into practical, production-ready architectures. You will operate at the intersection of strategy and execution, working closely with cross-functional teams and client stakeholders to align business ambition with technical reality, guide implementation, and drive outcomes in complex, evolving environments.THIS POSITION IS NOT ELIGIBLE FOR ANY SORT OF SPONSORSHIPWhat You Will DoEngagement & Solution LeadershipServe as the solution architecture lead across the fullplatformlifecycle: discovery, design, and implementationPartner with strategy leads to translate business goals into technical architectures and executable roadmapsLead client working sessions to definerequirements aroundcampaign workflows and operational dependencies,customer data models, metadata structures, and identity-aware audience frameworksEnsure alignment between business use cases and technical feasibility, offering pragmatic alternatives when neededMarketing Data Architecture & ModelingDesign and own end-to-end marketing data architecture, including:Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold)Customer and campaign data modelsMetadata and taxonomy frameworksDefine:Data grain, conformance logic, and key joinsKPI logic and aggregation strategiesSource-to-target mappings and field-level definitionsTranslate ambiguous business definitions into clear, scalable data structures and SQL logicDesign customer data models that support identity stitching, audience persistence, and cross-channel activationEnsure data models are traceable, repeatable, and production-readyPlatform & Integration ArchitectureDefine solution blueprints across modern marketing ecosystems, including:Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)Cloudecosystemts(AWS, Azure, GCP)CDPs and activation platforms (Adobe, Salesforce, Hightouch, LiveRamp)Clean rooms and CAPI integrationsDesign integrations across:CRM systems, campaign platforms, media data, and operational systemsEnsure architecture aligns with:oPrivacy, governance, and compliance requirementsoPerformance, scalability, and cost considerationsImplementation& DeliveryLeadershipLead architecture through build and deployment phases, ensuring:Designs translate into production-ready solutionsData pipelines and models are correctly implementedQA, validation, and reconciliation processes are in placeGuide engineering teams and client stakeholders through:Technical decision-makingIssue resolution and trade-offsOwn delivery milestones and ensure successful translation of design into production-ready infrastructure.Navigate incomplete or evolving requirements by structuring delivery sequencing and minimizing reworkMarketing Enablement & MeasurementEnsure data and platform design supports:Campaign execution workflows (batch, triggered, omnichannel)Audience targeting, suppression, and personalizationMeasurement frameworks (attribution, incrementality, lift)Design data structures that enable:BI reportingAI/ML use cases(e.g., propensity, optimization, scenario planning, emerging AI-driven workflows)Ensure alignment between campaign design, data availability, and measurement outputs to avoid downstream reworkPractice Leadership & GrowthContribute to practice development, includingreusable architecture patterns/frameworks,delivery standards and best practicesSupport pre-sales byshaping solution approaches, estimating effort and defining delivery modelsMentor junior architects and engineersWhat You Will Have8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer dataProven experience delivering end-to-end solutions (not just designing, but implementing)Deep expertise in:Marketing data ecosystems and campaign workflowsCloud data platforms (Snowflake, Databricks, etc.)Data modeling and transformation (SQL-heavy environments)Strong understanding of:Campaign execution, audience targeting, and suppression logicMarketing mea