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
- 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)
🏢 Tiger Analytics
📍 Secunderabad