Architect - Data Modeling Job

We are looking forward to hire Data Modeling Professionals in the following areas :

• Having Total IT Experience of 10 to 12 yrs and 7+ yrs of relevant experience on Data Modelling
• Create conceptual, logical and physical data model to identify key business entities and visualize their relationships along with accurate metadata for the Data warehousing Solutions
• Experience with Erwin or relevant data modelling tools to generate logical and physical data models on Snowflake Platform using Data Vault concept .
• Should have knowledge on Sales, Customer, Product & Inventory Domains pertaining to Manufacturing industry
• Consider Data Quality, Data Profiling, Data Governance, Data Lineage, Data Security concepts while designing the Data Model that suits the business requirements
• Good to have good knowledge on key Snowflake features like Data sharing, Data Cloning, Data Security, Data Masking, Tags and other Data Governance utilities
• Perform thorough data analysis on the existing data that helps to establish, modify and maintain the data model efficiently
• Experience in Data Platform Modernization from a Legacy system which includes Data Migration activities to be performed
• Communicate physical database designs and dba and explains features that may affect the physical data model.
• Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements.
• Present and communicate modelling results and recommendations to internal stakeholders.
• Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.
• Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders.
• Analyse data-related system integration challenges and propose appropriate solutions with strategic approach.
• Ensure compliance with data governance and security policies
• Collaborate internationally with various stakeholders.
• Engage with clients to clarify inbound research requests.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture