Senior Lead Marketing Data Platform Architect
About The Position
The Senior Lead Marketing Data Platform Architect defines, governs, and evolves Lumen's marketing data platform architecture. The role provides technical leadership for designing and implementing scalable data products, modern analytics capabilities, AI-ready data structures, and agentic operational frameworks in support of the organization's marketing strategy. As lead architect for the marketing data ecosystem, this position establishes the long-term platform vision, defines architectural standards, and guides modernization initiatives supporting advanced analytics, personalization, audience activation, measurement, and AI-driven decision-making. The architect partners closely with engineering, analytics, Adobe, Salesforce, and business stakeholders to keep the platform scalable, governed, secure, and aligned with evolving business needs. The role focuses on building AI-native data platforms, enabling intelligent automation, and creating modern data foundations for current and future marketing use cases.
Requirements
- 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.
Nice To Haves
- Experience modernizing or transforming enterprise data platforms.
- Experience designing agentic or AI-assisted operational frameworks.
- Experience with MCP, Copilot, or similar AI orchestration technologies.
- Experience implementing machine learning or generative AI capabilities within enterprise data environments.
- Experience with DataOps, DevOps, infrastructure-as-code, CI/CD, and automated testing frameworks.
- Familiarity with marketing platforms including Marketo, Demandbase, ZoomInfo, Dun & Bradstreet, and Quantum Metric.
- Experience supporting customer data platforms, data warehousing, and advanced marketing analytics environments.
- Azure platform expertise, including Key Vault, Azure Monitor, networking, and cloud governance.
- Relevant Databricks, Microsoft Azure, Adobe, or Salesforce certifications.
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 supporting 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 to 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 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 supporting long-term platform sustainability.
Benefits
- Comprehensive package featuring a broad range of Health, Life, and Voluntary Lifestyle benefits and other perks supporting physical, mental, emotional, and financial wellbeing.
- Bonus structure may include short-term incentives, long-term incentives, and/or sales compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
