Senior Marketing Data Platform Architect - AI-Native Lead

Lumen; City of Albany (NY); Hybrid; USD 145.000 - 194.000; Vollzeit

Zusammenfassung

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and evolve a scalable marketing data platform. You will drive architectural standards, governance, and modernization efforts while partnering with Adobe, Salesforce, analytics and engineering teams to enable AI-driven marketing insights.

The role emphasizes building AI-ready data foundations, reusable data products, and secure, observable architectures to support current and future marketing use cases.

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

Data modeling

SQL

Platform architecture

AI-ready data

Data governance

Stakeholder communication

Tools

Adobe Experience Platform

Salesforce

Azure

Marketo

ZoomInfo

Quantum Metric

Jobbeschreibung

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and evolve a scalable marketing data platform. You will drive architectural standards, governance, and modernization efforts while partnering with Adobe, Salesforce, analytics and engineering teams to enable AI-driven marketing insights.

The role emphasizes building AI-ready data foundations, reusable data products, and secure, observable architectures to support current and future marketing use cases.