Data Architect

Job Title:Data Architect

Experience Required:Minimum 10 years in Data Architecture, Data Modelling, and Enterprise Data Integration; Overview The Data Architect will be responsible for designing and governing the enterprise data architecture framework for e-Governance implementations, ensuring consistent, secure, and interoperable data flows across citizen services, departmental systems, and analytics platforms. The role involves establishing robust data management practices aligned withprocess areas to achieve data quality, reusability, and lifecycle governance across the program. Key Responsibilities • Design conceptual, logical, and physical data models for structured, semi-structured, and unstructured datasets. • Establish enterprise-wide data standards, naming conventions, modelling guidelines, and architecture patterns. • Develop reference architectures for data ingestion, storage, integration, migration, and analytics layers. • Align data architecture with organizational goals, interoperability requirements, and industry best practices. • Create and maintain configuration baselines for schemas, data models, metadata repositories, and dictionaries. • Provide data traceability, audit reports, and compliance documentation. • Architect and manage integration frameworks using APIs, ESB, microservices, or data fabric technologies. • Lead design of scalable API-first data exchange architectures using JSON/XML/OpenAPI specifications. • Collaborate with system integrators, application teams, and business leads to ensure accurate data synchronization. • Establish Data-as-a-Service (DaaS), Master Data Management (MDM) models, and metadata governance frameworks. • Define and implement enterprise data security patterns aligned with Zero Trust and data protection standards. • Work with security teams to apply encryption, masking, anonymization, and access control mechanisms. • Ensure compliance with data privacy, retention, archival, and lifecycle policies. • Support audit readiness through complete data lineage, change logs, and governance artefacts. • Evaluate RDBMS, NoSQL, Data Lakes, Data Warehouses, and cloud services for scalability and performance. • Optimize ETL/ELT pipelines, storage strategies, and overall data performance across workloads. • Apply Decision Analysis and Resolution (DAR) methods for evaluating alternate technologies or design options. • Collaborate with Solution Architects, BI Architects, and Application Leads to ensure seamless data integration. • Work with business analysts and data stewards to standardize metadata, classifications, and data definitions. • Document data architectures, lineage diagrams, and governance artefacts in industry-compliant formats. • Deliver knowledge transfer sessions and maintain centralized documentation repositories. • • Required Skills and Competencies • Minimum 10 years of enterprise-level experience in Data Architecture and Data Modelling. • Strong expertise in conceptual, logical, and physical modelling techniques. • In-depth knowledge of SQL, ETL/ELT tools, API integration, ESB, and data pipeline architectures. • Proficiency with Data Lakes, Warehouses, NoSQL platforms, and modern data integration technologies. • Experience with Data Governance, MDM, Metadata Management, and Data Quality frameworks. • Familiarity with cloud-native data services (Azure Data Factory, AWS Glue, Google BigQuery, etc.). • Strong documentation, communication, and analytical problem-solving abilities. • Understanding of data protection, security, encryption, and compliance standards (ISO 27001, NIST, etc.). Educational Qualification • MSc-IT/MCA/B.E/B.Tech Key Deliverables • Enterprise Data Architecture Blueprint and Strategic Roadmap • Master Data Management (MDM) & Data Governance Framework • Data Flow Diagrams, Data Dictionary, and Metadata Repository • Configuration Baselines, Quality Metrics, and Traceability Reports • Security & Compliance Documentation • Decision Analysis Reports and Continuous Improvement Records (DAR & CAR)