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)
Valuable 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
Valuable 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
Valuable 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:
Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.
Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models data warehouse etc.
Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling.
Define and govern

📌 Principal Data Architect Secunderabad (India)
🏢 Tiger Analytics
📍 India