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 skilled 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.

📌 Data Architecture Expert (Hyderabad)
🏢 Net Connect
📍 Hyderabad