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Data Architect

CARY-27518, NC, US
12/01/2020

-

Required Skills

SQL, BI tools

Company

VDart Inc

Experience

Job Description

Job Description:

Expertise in SQL, RDBMS and MPP databases

Must have good exposure to Cloud and Hadoop based data platform and BI solutions

Must have good knowledge on at least 1 of ETL/ELT and BI tools

Must have worked at least 2 Data Warehouse, Data Lake implementations as Data Architect

Must be able to create and maintain conceptual, logical and physical data models for data platform solutions

Define the Data Architecture standards, Guidelines, Metadata/Data Dictionary Framework

Defines the data standardization frameworks and drives data standardization across different sources

Defines and Governs the data level Security

Works closely with Business and Domain SME and creates the common Target structures for Core, Aggregate and Summary layers

Governs the Data Architecture/ Data Model components of the solution

Works closely with Developers in physicalizing structures and creates technical source to target mapping documents

Must have good knowledge on Events modeling and Payloads structure creation

Should have good understanding on the Event bus architectures and data exchange through these layer

Should have expertise in data modeling tools (strong in ERWIN) for creating data models, reverse engineering, forward engineering.

Must have good exposure to microservices, API's and JASON based schema designs

Should have good communication

Skils: ("Data Architect" AND Cloud AND Hadoop AND ETL AND Warehousing AND "Data Lake") OR ("Data Architect"
AND Cloud AND Hadoop AND ETL AND Warehousing AND "Data Lake") OR ("Data Architect" AND Cloud AND Hadoop
AND ETL AND Warehousing AND "Data Lake") OR ("Data Architect" AND Cloud AND Hadoop AND ETL AND
Warehousing AND "Data Lake") OR ("Data Architect" AND Cloud AND Hadoop AND ETL AND Warehousing AND "Data
Lake") OR ("Data Architect" AND Cloud AND Hadoop AND ETL AND Warehousing AND "Data Lake") OR ("Data
Architect" AND Cloud AND Hadoop AND ETL AND Warehousing AND "Data Lake")