Senior Director of Data Engineering and Transformation

Lumen Technologies is the trusted network for the AI-powered world, connecting people, data, and applications through an expansive fiber network. They are seeking an experienced Senior Director of Data Engineering & Transformation to lead the modernization and optimization of enterprise data platforms and architectures, driving scalable data products and AI-ready data structures.

Responsibilities:

• Transform enterprise data infrastructure by modernizing data platforms, architectures, pipelines, and engineering practices
• Make data more available and consumable for business users, enterprise applications, analytics platforms, and artificial intelligence
• Design scalable enterprise data architectures that support analytics, AI, automation, reporting, and operational use cases
• Lead data pipeline development and optimization, including ETL/ELT, ingestion, transformation, orchestration, monitoring, testing, and production support
• Drive data platform modernization across cloud, lakehouse, integration, storage, analytics, and AI-enablement capabilities
• Deliver reusable data products and solutions, including APIs, semantic layers, governed access patterns, analytical datasets, and AI-ready data structures
• Enable AI-ready data architecture for machine learning, intelligent applications, AI agents, advanced analytics, and automation workflows
• Lead complex transformation initiatives from strategy through execution, including roadmaps, milestones, dependencies, risks, and measurable business outcomes
• Embed governance into technical delivery, including data quality, security, lineage, metadata, access controls, compliance, and responsible data use
• Lead and mentor technical teams across data architecture, data engineering, platform engineering, and technical delivery while fostering excellence, accountability, and innovation

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
• 15+ years of experience in data engineering, data architecture, enterprise data platforms, data integration, data transformation, or related technical disciplines
• Strong experience designing and implementing large-scale data architectures, modern data platforms, enterprise data pipelines, and data engineering solutions
• Deep knowledge of ETL/ELT pipelines, data ingestion, data transformation, data modeling, data warehousing, lakehouse architectures, cloud data platforms, and distributed data systems
• Experience structuring data for analytics, reporting, AI, machine learning, business intelligence, intelligent applications, and automation use cases, including applied AI for data and AI-agent consumption patterns
• Strong understanding of data quality, security, metadata, lineage, access management, and governance requirements as part of technical delivery
• Proven ability to lead technical teams and manage complex data engineering, architecture, and transformation programs
• Strong communication skills with the ability to translate technical concepts into executive-level presentations, transformation roadmaps, and business-facing recommendations
• Experience evaluating, selecting, and implementing data technologies, platforms, and engineering frameworks
• Experience with data analytics, business intelligence, applied AI for data, AI agents, automation enablement, and machine learning enablement platforms
• Familiarity with cloud-based data platforms and services such as Azure, AWS, Google Cloud, Snowflake, Databricks, Microsoft Fabric, or similar technologies
• Experience with data mesh, lakehouse architecture, domain-oriented data products, metadata management, feature stores, vector databases, or AI-ready data platform design
• Experience with DevOps, DataOps, CI/CD, orchestration, monitoring, testing automation, and production support for data platforms and pipelines
• Certification in cloud architecture, data engineering, data architecture, or data management preferred