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+ years
What 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 governance
Why 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 management
  

2. 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 systems
  

3. 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 pipelines
  

What 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 plus
  

Please apply through the below google link