Senior AI‑Native Marketing Data Platform Architect

Lumen; Richmond (VA); Vor Ort; USD 145.000 - 194.000; Vollzeit

Benefits dieser Stelle

Health benefits

Bonus structure

Zusammenfassung

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable AI-ready marketing data platform. Collaborate with engineering, analytics, Adobe, and Salesforce to achieve secure, governed data solutions at enterprise scale.

You will lead architectural standards, data product design, and modernization efforts while guiding teams towards data-driven decision making and responsible governance.

Qualifikationen

• 8+ years of experience in data engineering, platform architecture, data solutions architecture, or related disciplines.
• Deep hands-on expertise with Databricks, including Delta Lake, Spark, data engineering, governance, orchestration, and platform architecture.
• Strong experience designing and implementing modern lakehouse architectures and enterprise-scale data platforms.
• Advanced data modeling, SQL, and data architecture expertise.
• Experience designing AI-driven or AI-native data solutions and implementing automation, testing, quality controls, and deployment practices.
• Strong understanding of metadata management, lineage, observability, data governance, and platform operations.
• Advanced understanding of Adobe's digital ecosystem, including Web SDK, Launch/Tags, Customer Journey Analytics, and Adobe Experience Platform.
• Advanced understanding of Salesforce architecture, standard and custom object models, and customer data ecosystems.
• Demonstrated success translating business requirements into scalable, secure, governed technology solutions.
• Excellent communication and stakeholder management skills with the ability to influence technical and business audiences

Aufgaben

• Own the architectural vision, governance, performance, and long-term evolution of Lumen's marketing data platform.
• Lead the design, implementation, and operational strategy of Databricks as the strategic platform for marketing data and intelligence.
• Define and maintain scalable data architectures that support analytics, reporting, customer intelligence, personalization, activation, and AI-driven use cases.
• Establish platform standards for data modeling, ingestion, orchestration, observability, testing, security, and environment promotion.
• Design and govern reusable data products that enable trusted, consistent access to marketing data across the organization.
• Drive modernization initiatives that improve platform scalability, simplify architecture, reduce technical debt, and accelerate delivery.
• Define governance standards for metadata management, lineage, schema control, data quality, and lifecycle management.
• Design for AI-native and agentic operations, including automated quality controls, monitoring, validation, testing, deployment, and operational intelligence.
• Partner with Adobe, Salesforce, analytics, engineering, and business teams to ensure seamless integration across the marketing technology ecosystem.
• Evaluate emerging technologies and architectural patterns that improve platform performance, automation, and business value.
• Provide technical leadership and architectural guidance to engineers, analysts, and cross-functional stakeholders.
• Lead architecture reviews, establish design standards, and document technical decisions that support long-term platform sustainability.

Kenntnisse

Databricks & Delta Lake

Lakehouse architecture

Data modeling & SQL

AI-driven data solutions

Metadata governance

Adobe Experience Platform

Salesforce architecture

Stakeholder communication

Data engineering

Tools

Databricks

Jobbeschreibung

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable AI-ready marketing data platform. Collaborate with engineering, analytics, Adobe, and Salesforce to achieve secure, governed data solutions at enterprise scale.

You will lead architectural standards, data product design, and modernization efforts while guiding teams towards data-driven decision making and responsible governance.