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 SPONSORSHIP

• Engagement & Solution Leadership
• Serve as the solution architecture lead across the full platform lifecycle: discovery, design, and implementation
• Partner with strategy leads to translate business goals into technical architectures and executable roadmaps
• Lead client working sessions to define requirements around campaign workflows and operational dependencies, customer data models, metadata structures, and identity-aware audience frameworks
• Ensure alignment between business use cases and technical feasibility, offering pragmatic alternatives when needed
• Marketing Data Architecture & Modeling
• Design and own end-to-end marketing data architecture, including:
• Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold)
• Customer and campaign data models
• Metadata and taxonomy frameworks
• Define:
• Data grain, conformance logic, and key joins
• KPI logic and aggregation strategies
• Source-to-target mappings and field-level definitions
• Translate ambiguous business definitions into clear, scalable data structures and SQL logic
• Design customer data models that support identity stitching, audience persistence, and cross-channel activation
• Ensure data models are traceable, repeatable, and production-ready
• Platform & Integration Architecture
• Define solution blueprints across modern marketing ecosystems, including:
• Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
• Cloud ecosystemts (AWS, Azure, GCP)
• CDPs and activation platforms (Adobe, Salesforce, Hightouch, LiveRamp)
• Clean rooms and CAPI integrations
• Design integrations across:
• CRM systems, campaign platforms, media data, and operational systems

Ensure architecture aligns with: o Privacy, governance, and compliance requirements o Performance, scalability, and cost considerations

• Implementation & Delivery Leadership
• Lead architecture through build and deployment phases, ensuring:
• Designs translate into production-ready solutions
• Data pipelines and models are correctly implemented
• QA, validation, and reconciliation processes are in place
• Guide engineering teams and client stakeholders through:
• Technical decision-making
• Issue resolution and trade-offs
• Own delivery milestones and ensure successful translation of design into production-ready infrastructure.
• Navigate incomplete or evolving requirements by structuring delivery sequencing and minimizing rework
• Marketing Enablement & Measurement
• Ensure data and platform design supports:
• Campaign execution workflows (batch, triggered, omnichannel)
• Audience targeting, suppression, and personalization
• Measurement frameworks (attribution, incrementality, lift)
• Design data structures that enable:
• BI reporting
• AI/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 rework
• Practice Leadership & Growth
• Contribute to practice development, including reusable architecture patterns/frameworks, delivery standards and best practices
• Support pre-sales by shaping solution approaches, estimating effort and defining delivery models

Mentor junior architects and engineers

• What You Will Have
• 8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer data
• Proven experience delivering end-to-end solutions (not just designing, but implementing)
• Deep expertise in:
• Marketing data ecosystems and campaign workflows
• Cloud data platforms (Snowflake, Databricks, etc.)
• Data modeling and transformation (SQL-heavy environments)
• Strong understanding of:
• Campaign execution, audience targeting, and suppression logic
• Marketing measurement frameworks (attribution, lift, etc.)
• Experience working with identity resolution and customer data frameworks (e.g., ID stitching, audience persistence, or partner integrations)
• Experience with:
• Multi-layer data architectures (e.g., Bronze / Silver / Gold)
• Source-to-target mappings, ERDs, data dictionaries, and KPI definitions
• Complex metric calculations (from a data perspective)
• Ability to:
• Translate business ambiguity into structured technical solutions
• Communicate architecture clearly to both technical and non-technical stakeholders
• Strong familiarity with:
• Martech ecosystem (CDPs, CRM, campaign platforms)
• Data governance and privacy considerations
• Nice to Have
• Experience in consulting or professional services
• Experience in regulated industries (financial services, healthcare, automotive)
• Familiarity with:
• Clean rooms and data collaboration environments
• Advanced measurement (incrementality testing, MMM inputs)

AI/ML enablement within marketing use cases

• Deep expertise in:
• Marketing data ecosystems and campaign workflows
• Cloud data platforms (Snowflake, Databricks, etc.)
• Data modeling and transformation (SQL-heavy environments)
• Strong familiarity with:
• Martech ecosystem (CDPs, CRM, campaign platforms)
• Data governance and privacy considerations
• Familiarity with (Nice to Have):
• Clean rooms and data collaboration environments
• Advanced measurement (incrementality testing, MMM inputs)
• AI/ML enablement within marketing use cases
• Required Experience:
• 8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer data
• Proven experience delivering end-to-end solutions (not just designing, but implementing)
• Experience working with identity resolution and customer data frameworks (e.g., ID stitching, audience persistence, or partner integrations)
• Experience with:
• Multi-layer data architectures (e.g., Bronze / Silver / Gold)
• Source-to-target mappings, ERDs, data dictionaries, and KPI definitions
• Complex metric calculations (from a data perspective)
• Experience in consulting or professional services (Nice to Have)
• Experience in regulated industries (financial services, healthcare, automotive) (Nice to Have)

Required Education: [Информация о требуемом образовании отсутствует в исходном тексте]

[Информация о преимуществах и условиях работы отсутствует в исходном тексте]

• Additional Information:
• Primary Location City/State: Homebased - Conway, Arkansas
• Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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Attention Colorado, California, Connecticut, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com.