Data Modeller
Data Modeller
Posted on :
23-11-2024
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1 Vacancy
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Job Description
Job Title: Senior Data Modeler
Location: Remote
Experience: 1015 years
Visa: H1B USC H4Ead
The Data Cloud Data Modeler will be joining a worldclass data modelling team with a real passion for wellarchitected analytical software that delivers unparalleled customer success.
You will work on canonical Data Cloud data models for horizontal (e.g. sales service marketing) and industryspecific analytic applications helping to shape the structure of data across a much broader range of subject areas than most data modelers see in their careers.
Client is leading the way to bring AI data automation and deep industryspecific functionality to our customers. Join our highperformance culture of trust collaboration transparency continuous improvement and making work fun!
Responsibilities:
Success will be measured by the individuals ability to deliver wellarchitected Data Cloud data models at a steady pace of innovation.
Handson detailed design development testing and publishing of canonical data models for OLAP and AI applications built with Data Cloud as well as OLTP applications.
Evaluate and advise product teams to determine data model requirements. Identify overlapping data model requirements across multiple product teams and influence the combined canonical data model design to consensus and consistency.
Assist in identifying and articulating gaps in current Data Cloud features necessary to properly support the many use cases for Data Cloud. Collaborate with Data Cloud architects product owners and developers to design features that close those gaps.
Work to improve the data modelling design skills of the product teams we work with.
Assist in creating Data Cloud data model documentation and collateral to enable the Salesforce ecosystem to understand and properly adopt the client data model. Seek continuous improvement in Salesforces processes methods and tooling to improve our efficiency and effectiveness.
Required Qualifications:
10 years of demonstrated handson analytical data modelling and design experience across multiple industries for analytical systems.
Good knowledge of data modelling principles and best practices including a good understanding of canonical and semantic data modelling concepts.
Significant experience in data warehousing data lakes ML pipelines batch and realtime data transformation (ETL/ELT) and processing Significant experience with several of relational columnar graph vector NoSQL streaming databases.
Ability to quickly grasp technological and business concepts Strong verbal and written communication skills; experience communicating with engineers software professionals and product management to succinctly explain technical and functional concepts.
Experience with the full software lifecycle delivering enterprise software products or largecompany analytical information technology projects.
Experience and desire to work within a fastpaced environment with short release cycles and an iterative development methodology.
Able to work on multiple projects/products simultaneously and comfortable working with minimal specifications A related technical degree required
Preferred Qualifications:
Experience with modern data stack and analytical technologies such as Apache Iceberg Snowflake MongoDB Neo4j Neptune and similar Experience across a variety of business processes and industries; especially communications media energy utilities financial services health manufacturing consumer packaged goods retail nonprofit education public sector and sustainability.
Strong handson knowledge of SQL (or Salesforce SOQL) including performance tuning .
Strong knowledge of Salesforce product and platform features capabilities and the best use of them such as Data Cloud and Tableau.
Good understanding of enterprise architecture principles Experience with Agile development methodologies.
Experience with data modelling tools processes BI tools reporting software and data analysis and data analytics.
Data Modelling Fundamentals,Data Warehousing,ETL Fundamentals,Modern Data Platform Fundamentals,PLSQL,Python,SQL,service,marketing) and industry-specific analytic applications,data,collaboration,transparency,development,data lakes,ML pipelines,columnar,graph,vector,NoSQL,Snowflake,MongoDB,Neo4j,Neptune,media,energy,utilities,financial services,health,manufacturing,consumer packaged goods,retail,non-profit,education,public sector and sustainability. Strong,capabilities,processes,BI tools,reporting software and data analysis and data analytics.
Employment Type
Full Time
Key Skills
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