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 is a pivotal role within our Telecom sector, based in Hyderabad, responsible for shaping and executing the organization's digital data strategy.
- With a focus on strategic thinking, this role involves evaluating existing data architectures, identifying gaps,



and formulating transition roadmaps to achieve desired target states.
- The role requires a seasoned professional with a minimum of 12 years of experience in the data domain, including at least 5 years in enterprise data architecture.
- The expert will provide technical leadership, influencing C-level executives and ensuring alignment with enterprise data principles.
- The incumbent will be instrumental in managing large-scale technology and data architecture transformation programs, leveraging their deep expertise in data management, Data Lake, Lakehouse, and EDW ecosystems.
- This position is crucial for defining and governing enterprise frameworks and standards, ensuring data flows are optimized and aligned with enterprise architecture principles.

Requirements

- Master’s degree in Telecommunications Science and Technology or a related Engineering discipline. 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.
- Solid 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