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Architect-Data Modeling - Pune, India - Saaki Argus & Averil Consulting
Description
As an Architect you will work tosolve some of the most complex and captivating data managementproblems that would enable
them as a datadrivenorganization; Seamlessly switch between roles of an IndividualContributor team member and Data
ModelingArchitect as demanded by each project to define design and deliveractionable insights.
On a typical day youmight
Engage the clients & understandthe business requirements to translate those into datamodels.
Analyze customer problems proposesolutions from a data structural perspective and estimate anddeliver proposed solutions.
Create and maintaina Logical Data Model (LDM) and Physical Data Model (PDM) byapplying best practices to provide business
insights.
Use the Data Modelling toolto create appropriate data models
Create andmaintain the Source to Target Data Mapping document that includesdocumentation of all entities attributes data
relationships primary and foreign key structures allowedvalues codes business rules glossary terms etc.
Gather and publish Data Dictionaries.
Ideatedesign and guide the teams in building automations andaccelerators
Involve in maintaining data modelsas well as capturing data models from existing databases andrecording descriptive
information.
Contribute to building data warehouse & datamarts (on Cloud) while performing data profiling and qualityanalysis.
Use version control to maintainversions of data models.
Collaborate with DataEngineers to design and develop data extraction and integrationcode modules.
Partner with the data engineers& testing practitioners to strategize ingestion logicconsumption patterns & testing.
Ideateto design & develop the nextgen data platform bycollaborating with crossfunctional stakeholders.
Work with the client to define establish and implementthe right modelling approach as per the requirement
Help define the standards and best practices
Involve in monitoring the project progress to keep theleadership teams informed on the milestones impedimentsetc.
Coach team members and review codeartifacts.
Contribute to proposals andRFPs
EXPERTISE ANDQUALIFICATIONS
Whatdo we expect
10 years of experience in Data space.
Decent SQL knowledge
Able to suggest modelingapproaches for a given problem.
Significantexperience in one or more RDBMS (Oracle DB2 and SQLServer)
Realtime experience working in OLAP& OLTP database models (Dimensional models).
Comprehensive understanding of Star schema Snowflakeschema and Data Vault Modelling. Also on any ETL toolData
Governance and Data quality.
Eye to analyze data & comfortable with followingagile methodology.
Adept understanding of anyof the cloud services is preferred (Azure AWS &GCP)
Enthuse to coach team members &collaborate with various stakeholders across the organization andtake complete ownership of
deliverables.
Experience incontributing to proposals and RFPs
Goodexperience in stakeholder management
Decentcommunication and experience in leading theteam
Remote Work :
No