Responsibilities:
-Designs and implements secure, scalable, and efficient data architectures (OLTP as well as OLAP), Sybase/ SQL Server/ Oracle/ Postgres/ MySQL/ DB2/ Teradata/ Snowflake/ Netezza
-Develops and enforces data governance standards and policies.
-Creates conceptual, logical and physical data models.
-Analyzes and migrates data from legacy systems
-Selects and implements appropriate data storage and processing technologies
-Collaborates with data engineers, data scientists, and business stakeholders
-Documents and maintains data architecture blueprints
-Monitors and optimizes database performance, long running queries
-Exposure to Larger Scale Data/ Database Migrations/ Database Upgrades/ Cross-Database Implementation

-Key Skills:
-Strong understanding of data modeling concepts and techniques
-Expertise in SQL and relational databases / NO SQL Databases/ Hadoop(H)QL
-Experience with data warehousing and big data technologies (optional)
-Excellent communication and collaboration skills
Problem-solving and analytical skills
-Ability to understand business needs and translate them into data requirements
-Experience with data security (not limited to masking) and compliance regulations
-Specific technologies used by the organization (e.g., AWS, Azure, GCP) optional
-Knowledge of ETL, data visualization, DQ, Data Lineage, MDM, Metadata Management tools (optional)
-Data Localization and Cross Border Data Transfer related Experience