Data architect

Must-Have**

Deep understanding and experience of the data and data vault modelling concepts and Data Vault Speed Tool.
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Basic Understanding of various systems including ERP (SAP), CRM (Salesforce, Eloqua etc.) from thedata structure perspective.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Should be well versed with SQLs from writing complex queries, analytical functions
Hands-on modeling, design, configuration, installation, performance tuning
Lead in designing a solution to meet the stated requirements and work closely with architecture team and business team for presenting in solution review boards

Good-to-Have

Good to have experience on the AWS Cloud and related technologies including API, Rest
Demonstrate strong communication, analytical and organizational skills 
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.

SN

Responsibility of / Expectations from the Role

1

Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (Snowflake).

2

Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.