Allwyn Corporation
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler, offering a long-term remote contract. Key skills include expert-level ELK/EFK stack, mid to expert-level AWS Managed Kafka, and AWS Cloud Platform experience. Strong communication skills and occasional after-hours work are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Strategy #Data Lake #Data Profiling #SQL (Structured Query Language) #NoSQL #Physical Data Model #Data Mart #Monitoring #AWS (Amazon Web Services) #SQL Queries #Kafka (Apache Kafka) #Data Architecture #Data Analysis #Logstash #Cloud #MS SQL (Microsoft SQL Server) #SaaS (Software as a Service) #RDBMS (Relational Database Management System) #Elasticsearch
Role description
Position: Data Modeler
Location: Remote
Duration: Long Term
Job Description:
Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
1. 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.
1. Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
1. Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
Skills/Experience
Must have Expert Level working experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana)
• AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
• AWS Cloud Platform Mid-level
• Strong background experience in at least one of the SaaS Enterprise Monitoring platforms and technologies, AppDynamics, SignalFx, is preferred.
• Advanced Knowledge of enterprise scale Hybrid IT Infrastructure, Platforms and Applications
Works with other Team Leads to ensure that the technical solutions are consistent with the enterprise architecture and strategy.
Must possess strong communication and interpersonal skills, work well in an integrated team environment, and must be self-motivated.
This role requires working outside normal business hours on occasion.
Required Qualifications:
Must have Expert Level working experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana)
• AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
• AWS Cloud Platform Mid level
• Strong background experience in at least one of the SaaS Enterprise Monitoring platforms and technologies, AppDynamics, SignalFx, is preferred.
• Advanced Knowledge of enterprise scale Hybrid IT Infrastructure, Platforms and Applications
Works with other Team Leads to ensure that the technical solutions are consistent with the enterprise architecture and strategy.
Must possess strong communication and interpersonal skills, work well in an integrated team environment, and must be self-motivated.
This role requires working outside normal business hours on occasion.
Position: Data Modeler
Location: Remote
Duration: Long Term
Job Description:
Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
1. 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.
1. Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
1. Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
Skills/Experience
Must have Expert Level working experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana)
• AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
• AWS Cloud Platform Mid-level
• Strong background experience in at least one of the SaaS Enterprise Monitoring platforms and technologies, AppDynamics, SignalFx, is preferred.
• Advanced Knowledge of enterprise scale Hybrid IT Infrastructure, Platforms and Applications
Works with other Team Leads to ensure that the technical solutions are consistent with the enterprise architecture and strategy.
Must possess strong communication and interpersonal skills, work well in an integrated team environment, and must be self-motivated.
This role requires working outside normal business hours on occasion.
Required Qualifications:
Must have Expert Level working experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana)
• AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
• AWS Cloud Platform Mid level
• Strong background experience in at least one of the SaaS Enterprise Monitoring platforms and technologies, AppDynamics, SignalFx, is preferred.
• Advanced Knowledge of enterprise scale Hybrid IT Infrastructure, Platforms and Applications
Works with other Team Leads to ensure that the technical solutions are consistent with the enterprise architecture and strategy.
Must possess strong communication and interpersonal skills, work well in an integrated team environment, and must be self-motivated.
This role requires working outside normal business hours on occasion.
