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Data Modeler Architect

About the Job

Passionate about software designing and architecture best practices? Love the idea of using your leadership skills to help development come to life? Expert Data Architect is your perfect professional fit! 

You will focus on the continuous delivery of business intelligence and data warehouse solutions from strategy and design through implementation. Working closely with clients, business analysts, and software developers, your team engagements will create new analytic solutions and improve existing ones. 

Your day-to-day will include leading the design efforts on a variety of projects in a highly collaborative, and fast-paced environment.

Responsabilities

  • Responsible for the development of conceptual, logical, and physical data models on Cloud Data Warehouse, data marts, and data lakes on target platforms like Redshift. 

  • 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.

  •  Implement data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)and data tools (reporting, visualization, analytics, and machine learning). 

  • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. 

  • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

Who We Are Looking For

  • 10 years of hands on design and implementation of Data Warehouse, Dimensional model and business semantic models.

  • Should have hands on experience in designing and build data models from scratch on Cloud Data Warehouse like Redshift, Aurora , Dynamo DB.

  • Experience in using data modeling tools like Erwin or ER Studio or others is required. 

  • Experience on modeling in Big data environment on -premise implementation, Hive Database is preferable.

  • Have experience in SQL and good understanding of source systems like Oracle, SQL Server, Teradata, etc is must.

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      ​Preferred skills: 

  • Should have knowledge of Knowledge of any ETL tool, Informatics.

  • Strong communication skills.

  • Exposure to Insurance domain.

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