AI-Native Marketing Data Platform Architect Lead

Lumen; Columbus (OH); On-site; USD 132,000 - 176,000; Full time

Job summary

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable data platform for marketing analytics and AI-driven decision-making. You will partner with engineering, Adobe, Salesforce, and business stakeholders to drive modernization and implement data products that enable personalized, measurable marketing at scale.

The role emphasizes AI-native design, data governance, and secure, observable architectures, with a focus on enabling advanced analytics,

Qualifications

• 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

Responsibilities

• 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.

Skills

Databricks

Delta Lake

Spark

Data governance

Data modeling

AI-driven data solutions

Platform architecture

Metadata management

Observability

Data orchestration

Tools

Adobe Experience Platform

Salesforce

Azure

Databricks platform tooling

Job description

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable data platform for marketing analytics and AI-driven decision-making. You will partner with engineering, Adobe, Salesforce, and business stakeholders to drive modernization and implement data products that enable personalized, measurable marketing at scale.

The role emphasizes AI-native design, data governance, and secure, observable architectures, with a focus on enabling advanced analytics,