Required Skills

Data Architect Data Modeler

Work Authorization

  • Us Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 30th Jul 2021

JOB DETAIL

•              Design data architectures and implement business and IT data requirements through new data strategies and designs across all data platforms (relational, entity/dimensional, AWS, Snowflake) and data tools (reporting, visualization, analytics, and machine learning).         

•              Architect the blueprint and implementation plan for the expansion of existing data architecture, provide multiple solution options for data modernization factoring scalability, performance and costs. Able to clearly articulate various solutions to business needs.

•              Design, develop and exhibit ownership of conceptual, logical, and physical data models

•              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.

•              Assists in the development of strategies for archive recovery, database implementation and data acquisition. Hands-on modeling, design, configuration, performance tuning, and Proof of Concepts

•              Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.               

•              15+ years of hands-on relational, dimensional, and/or analytics experience (using RDBMS (SQL Server, Teradata), Hadoop-Hive, AWS Data tools - Athena, S3 data platform technologies, and ETL and data ingestion methodologies).

•              Data modelling experience with metadata lineage/ management, data governance and data quality.

•              Experience with data warehouse, data lake, and enterprise big data platforms in multi-domain contexts required.

•              Understands BI tools and technologies as well as the optimization of underlying databases (RDBMS, S3, Snowflake etc).

•              Insurance domain knowledge is advantage

•              Excellent communication skills to communicate effectively to business stakeholders, IT leadership and technology CoE teams.

Company Information