Principal Data Architect - Data Modelling

Role & responsibilities :

• Minimum 15 years of experience
• Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.
• Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.
• Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
• Good understanding of Relational, Dimensional, Data Vault Modelling
• Experience in implementing 2 or more data models in a database with data security and access controls.
• Good experience in OLTP and OLAP systems
• Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources.
• Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
• Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
• Understanding of DevOps processes
• Hands-on experience in one or more Data Modelling Tools
• Good understanding of one or more ETL tool and data ingestion frameworks
• Understanding of Data Quality and Data Governance
• Good understanding of NoSQL Database and modeling techniques
• Good understanding of one or more Business Domains
• Understanding of Big Data ecosystem
• Understanding of Industry Data Models
• Hands-on experience in Python
• Experience in leading the large and complex teams
• Good understanding of agile methodology
• Extensive expertise in leading data transformation initiatives, driving cultural change, and promoting a data driven mindset across the organization.
• Excellent Communication skills

Requirements :

Skills Required

Solution Architecting, data vault , Data Modeling, Data Architecture, Dimensional Modeling, Data Warehousing, Oltp