Data Architect

• Analyse current state of inventory of data sources, discover ETL activities & processes adopted, understand data quality & lineage.
• Discover and analyse Metadata, Master data and Reference data
• Analyse Data Access Management, self-service BI Practices in a system
• Analyse data life cycle (Important points of access, acquire, transport, store, query, manage, secure, and share)
• Discover current state of Databases Availability, Backup, Recovery Mechanism
• Understand the system of data virtualisation and related tools like Denodo
• Evaluate current state and recommend future roadmap for the organisation data lake, data warehousing and cloud storage requirements (Azure, Snowflake, AWS for semi-structured and unstructured data)
• Design data pipeline architecture for data lake & data warehouse (like Azure Data Factory)
• Evaluate ETL run-time and recommend suitable schema designs.
• Recommend cloud-based data warehouse and analytics solution (Azure Data Factory, Synapse Analytics and Data bricks, AWS services, Snowflake)
• Analyse structural requirements for new software, hardware and applications
• Understand business & technical requirements to migrate data from legacy systems to new solutions
• Build data models for database structures, analytics and AI applications.
• Improve & elaborate system performance parameters
• Evaluate & Optimize new and current database systems
• Provide insight into the changing database storage and utilization requirements and offer suggestions
• Integrate new systems and functions like security, performance, scalability, reliability and data recovery.
• Collaborate in a data strategy that meets the industry requirements
• Envision data pipelines and how data will flow through the enterprise
• Evaluate current data management technologies, policies and suggest improvements
• Design, document, build and implement database architectures and applications.
• Develop measures that ensure data accuracy, integrity and accessibility.
• Ensure that the data architecture is scalable and maintainable
• Suggest suitable data architecture landscape for integration and scaling
• Understand granular details of current MIS

Requirements and skills

• Bachelor's/Master's Degree in Computer Engineering or degree/certification in data architecture
• Proven work experience as a Data Architect, Data warehouse designer, Data Engineer, Data Scientist, Data Analyst or similar role
• In-depth understanding of database structure principles
• Familiarity with data virtualisation tools
• Data management and reporting technologies, data visualization and structured/unstructured data management
• Strong business and communication skills
• Good understanding of key architecture concerns such as availability, scalability, operability and maintainability