Senior Data Platform & Data Exchange Architect

We are building a state-scale data and analytics infrastructure for the Government of Telangana called TGDex (Telangana Data Exchange), focused on secure data exchange, enterprise data platforms, and AI-driven governance. This initiative has two core pillars:- A secure data exchange platform built on India’s IUDX/TGDEx ecosystem. - A centralized data and analytics platform to power welfare monitoring, and data-driven policymaking across government departments.We are looking for a mid-senior to senior data professional who can own the end-to-end data stack and contribute to the architecture and evolution of the state’s data exchange platform.Role: Senior Data Platform & Data Exchange Architect Location: Hyderabad Experience: 8+ yearsWhat is TGDeX?TGDeX is a data exchange platform launched by the Department of Electronics & Special Projects (ESD), Government of Telangana, to facilitate data sharing and collaboration between various departments and agencies. - Purpose: The platform aims to enable data-driven decision-making, improve governance, and drive innovation in areas like urban planning, healthcare, and more. - Key features: TGDeX provides a single platform for data sharing, data standardization, and data analytics, with robust security and access controls. - Benefits: TGDeX enables better decision-making, improves citizen services, and fosters innovation through data-driven startups and research. - Partners: TGDeX is developed in collaboration with organizations like IISc Bengaluru, JICA, and others, showcasing international cooperation in digital governanceWhy Join TGDex?- Shape one of India’s most forward-looking digital public infrastructure initiatives. - Work at the intersection of technology, governance, and public impact. - Architect systems that will influence millions of citizens and enable data-driven decision-making across the state. - Collaborate with visionary leaders driving Telangana’s digital transformation.Key Responsibilities- Architect and design the state-wide data exchange platform, ensuring security, scalability, and interoperability. - Provide technical leadership to engineering teams, vendors, and system integrators. - Lead the development of enterprise data platforms, including data lakes, data warehouses, metadata systems, and API gateways. - Define and implement data governance frameworks, including access control, consent management, and data quality standards. - Collaborate with multiple government departments to onboard datasets, integrate systems, and streamline data flows. - Drive AI/ML readiness, ensuring the platform supports analytics workloads, model deployment, and real-time data processing. - Ensure compliance with national and state-level data policies, privacy frameworks, and cybersecurity standards.What You Will Do 1. Own the End-to-End Data Platform You will design, build, and manage the core data stack, including:- Data ingestion and ETL/ELT pipelines (batch and streaming) - Data lake and enterprise data warehouse architecture - Architect and operate big data platforms (Hadoop/Spark-based or cloud-native equivalents) - Business data warehouse and curated data marts - Data transformation pipelines and analytics-ready datasets - Dimensional data modelling (star/snowflake schemas, SCDs) - Data quality, lineage, reliability, and metadata management2. Architect Secure Data Exchange You will contribute to the design and enhancement of a data exchange layer, including:- Secure, policy-driven data sharing between departments - API-based data access, authentication, authorization, and auditing - Enhancements to TGDEx / IUDX-based data exchange capabilities - Consent-based and role-based data access models - Interoperability across heterogeneous legacy systems3. Enable Downstream Analytics & AI This is not a pure data science role, but you will work closely with analytics and AI teams by:- Designing data models optimized for BI, advanced analytics, ML, and AI workloads - Supporting feature engineering and ML pipelines - Enabling forecasting, risk scoring, anomaly detection, and optimization use cases - Collaborating on MLOps and model deployment pipelinesWhat We’re Looking For Core Technical Expertise- Strong background in data engineering and platform architecture - Hands-on experience with: - ETL/ELT frameworks and orchestration tools - Big data frameworks: Hadoop ecosystem, Spark (batch & streaming), distributed file systems - Data lakes, data warehouses, and analytics platforms - Dimensional modelling and enterprise data architecture - Experience with API-driven data platforms and integration architectures - Knowledge of data governance, security, privacy, and compliance - Exposure to cloud and/or large-scale on-prem data environments - Working knowledge of analytics and ML platforms - Working knowledge of Linux command-line environments (navigating systems, logs, scripts, deployments)Experience Profile- 8+ years of experience in data platforms, analytics engineering, or data architecture - Experience in large-scale, multi-stakeholder enterprise or government environments preferred - Exposure to regulated domains (government, BFSI, telecom, healthcare, utilities) is a plusPlease apply through the below google link

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