Lead Marketing Data Platform Architect (Databricks)

Lumen

Honolulu (HI)

On-site

USD 132,000 - 194,000

Full time

6 days ago
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Job summary

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable marketing data platform supporting analytics, audience activation, and AI-driven insights. You will partner with Adobe, Salesforce, and engineering to drive modernization and secure, governed data products.

This role focuses on building AI-ready data foundations, improving platform scalability, and delivering measurable business value through advanced analytics and personalized marketing capabilities.

Qualifications

  • 8+ years of experience in data engineering, platform architecture, data solutions architecture, or related disciplines.
  • Deep hands-on Databricks expertise 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
Data engineering
Lakehouse architecture
SQL modeling
AI-ready data
Metadata governance
Adobe Experience Platform
Salesforce ecosystem
Communication skills

Tools

Databricks
Azure
CI/CD

Job description

Lumen is seeking a Senior Lead Marketing Data Platform Architect to define and govern a scalable marketing data platform supporting analytics, audience activation, and AI-driven insights. You will partner with Adobe, Salesforce, and engineering to drive modernization and secure, governed data products.

This role focuses on building AI-ready data foundations, improving platform scalability, and delivering measurable business value through advanced analytics and personalized marketing capabilities.

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