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About the role
You are seeking a Senior Lead Enterprise Data Architect to join the Enterprise Architecture (EA) team. This role involves strategic leadership and hands-on technical execution to drive architecture standards across enterprise platforms and initiatives. You will collaborate with architects, engineering leaders, product teams, and business stakeholders to define strategies, reference models, and multi-year roadmaps, focusing on data architecture, AI-driven ecosystems, APIs, and cloud-native platforms. Key Responsibilities: - Define and evolve enterprise architecture strategy, standards, and reference models. - Translate business capabilities into scalable, secure, and resilient architectures. - Drive adoption of target-state architectures across cloud, APIs, AI, and event-driven systems. - Serve as a trusted advisor, guiding complex design decisions. - Lead enterprise data architecture encompassing conceptual, logical, and physical modeling. - Define domain-driven architectures aligned with business capabilities. - Establish data governance, metadata management, and lineage standards. - Architect solutions for data warehouses, lakes, and Lakehouse platforms. - Enable integration patterns such as ETL, ELT, APIs, and streaming. - Design cloud-native and distributed architectures on Azure, AWS, and GCP. - Implement microservices, DDD, API-led integration, and event-driven systems like Kafka. - Contribute to AI-enabled architectures such as GenAI, Agentic AI, MCP, Copilot Studio. - Enhance developer productivity using tools like GitHub Copilot and Cursor AI. - Develop and maintain multi-year technology and data roadmaps. - Support enterprise transformation initiatives with architecture guidance. - Collaborate cross-functionally to deliver solution architectures and design artifacts. - Stay updated with industry trends and recommend practical innovations. Qualifications Required: - 1316+ years of IT experience, with 5+ years in enterprise/solution architecture. - Strong knowledge of EA frameworks like TOGAF and Zachman. - Hands-on expertise with major cloud platforms such as Azure, AWS, and GCP. - Proven skills in data architecture, modeling, integration, and cloud-native patterns. - Experience with modern data platforms like Databricks, Microsoft Fabric, Azure Data Platform, AWS. - Proficiency in microservices, API management, and event-driven systems. - Robust grasp of NFRs including security, scalability, performance, resiliency, and observability. - Excellent communication and stakeholder management skills. Preferred Qualifications: - Exposure to enterprise data management practices including governance, metadata, and lineage. - Experience in the Telecommunications domain. - Familiarity with TM Forum frameworks such as Open APIs, eTOM, SID. - Understanding of telecom lifecycle domains like Quote-to-Order, Fulfillment, Assurance, Billing. - Relevant certifications like TOGAF, Cloud Architect, Data Architecture. You are seeking a Senior Lead Enterprise Data Architect to join the Enterprise Architecture (EA) team. This role involves strategic leadership and hands-on technical execution to drive architecture standards across enterprise platforms and initiatives. You will collaborate with architects, engineering leaders, product teams, and business stakeholders to define strategies, reference models, and multi-year roadmaps, focusing on data architecture, AI-driven ecosystems, APIs, and cloud-native platforms. Key Responsibilities: - Define and evolve enterprise architecture strategy, standards, and reference models. - Translate business capabilities into scalable, secure, and resilient architectures. - Drive adoption of target-state architectures across cloud, APIs, AI, and event-driven systems. - Serve as a trusted advisor, guiding complex design decisions. - Lead enterprise data architecture encompassing conceptual, logical, and physical modeling. - Define domain-driven architectures aligned with business capabilities. - Establish data governance, metadata management, and lineage standards. - Architect solutions for data warehouses, lakes, and Lakehouse platforms. - Enable integration patterns such as ETL, ELT, APIs, and streaming. - Design cloud-native and distributed architectures on Azure, AWS, and GCP. - Implement microservices, DDD, API-led integration, and event-driven systems like Kafka. - Contribute to AI-enabled architectures such as GenAI, Agentic AI, MCP, Copilot Studio. - Enhance developer productivity using tools like GitHub Copilot and Cursor AI. - Develop and maintain multi-year technology and data roadmaps. - Support enterprise transformation initiatives with architecture guidance. - Collaborate cross-functionally to deliver solution architectures and design artifacts. - Stay updated with industry trends and recommend practical innovations. Qualifications Required: - 1316+ years of IT experience, with 5+ years in enterprise/solution architecture. - Strong kno