Data Architecture Expert

Key Responsibilities - Define and govern enterprise frameworks, standards, and processes for managing data flows between OLTP systems and the Lakehouse, ensuring alignment with enterprise data principles. - Develop and optimize solution architectures to address data inconsistencies and integrity issues, improving data quality and reducing storage costs. - Review and endorse architecture blueprints across the data platform, ensuring alignment with enterprise Data Architecture. - Establish and maintain architecture principles, frameworks, and guidelines for Technology Architecture Governance, providing oversight across subsidiaries. - Manage end-to-end architectural engagements, identifying gaps between current and desired data architectures and defining transition roadmaps. - Evaluate and review technical and architectural proposals, providing feedback and insights to improve technology efficiency and optimization. - Support architecture-related change management reviews and translate architecture roadmaps into executable projects and programs. - Conduct technology efficiency studies and translate findings into actionable roadmap items with measurable outcomes. Overview - The Senior Data Architecture Expert at our telecom organization is pivotal in crafting and directing the digital data architecture strategy. - This role is situated at the intersection of technology and business, providing leadership and strategic direction to shape the organization's data roadmap effectively. - As a strategic thinker, you will evaluate existing data architectures, identify gaps, and develop a transition roadmap to achieve targeted architectural states. - This position offers the opportunity to work remotely from Hyderabad, with a focus on influencing and initiating change at a senior level within the organization. - The selected candidate will be a part of a dynamic team, contributing to large-scale transformations in the telecom sector. - The role requires a seasoned professional with a deep understanding of data management and architecture, particularly within the telecom industry. - You will be responsible for defining and governing standards and processes for data management, ensuring they align with enterprise data principles. - As a leader, you will influence C-level executives and guide the organization in managing and transforming its data architecture. - The position is designed for someone with a strong track record in enterprise architecture and who can lead architecture-related change management effectively. - In this role, you will oversee the development and optimization of solution architectures, addressing data inconsistencies and improving data quality while reducing costs. - You will also be responsible for reviewing and endorsing architecture blueprints across the data platform. - Your expertise will be crucial in establishing and maintaining architecture principles, frameworks, and guidelines for technology architecture governance. - This position calls for a leader who can manage end-to-end architectural engagements, from gap identification to the definition of transition roadmaps. - You will evaluate technical and architectural proposals, offering feedback to enhance technology efficiency and optimization. - Your insights will drive the architecture roadmaps and technology efficiency studies, translating findings into actionable and measurable outcomes. Requirements - Master’s degree in Telecommunications Science and Technology or a related Engineering discipline, with a preferred Bachelor’s in Computer Science or Data Engineering. - Minimum of 12 years of experience in the data domain, with at least 5 years in a data enterprise architecture role. - Preferred certifications in Enterprise Architecture such as TOGAF or Zachman. - Experience in managing large-scale Technology/Data/AI Architecture Transformation and Implementation programs. - Strong leadership skills with the ability to influence C-level executives. - Deep expertise in data management, Data Lake, Lakehouse, and EDW ecosystems. - Strong knowledge of key data platform technologies like Teradata, Databricks, and Hadoop-based platforms.