Data Modeler Job at Realign (Norwell)

Data Modeler

We are looking for a Data Modeler to support a healthcare organization in Morris...

Location

United States , Morristown

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience designing data models across relational, dimensional, and NoSQL environments
Strong working knowledge of ETL processes and data pipeline concepts
Proficiency with Python for data-focused development and automation tasks
Experience using Apache Spark in large-scale data processing environments
Familiarity with Apache Hadoop and distributed data ecosystems
Working knowledge of Apache Kafka for streaming or event-driven data architectures
Ability to document metadata, lineage, and business definitions in a clear and organized manner
Strong collaboration skills with the ability to work effectively across engineering, architecture, and analytics teams

Job Responsibility

Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms
Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices
Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs
Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth
Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members
Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate
Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions
Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles
Contribute to governance efforts by supporting data standardization and cataloging activities across the organization
Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Data Modeler

Randstad Digital Switzerland is seeking an accomplished Data Modeler to support ...

Location

Switzerland , Geneva

Salary:

Not provided

Randstad

Expiration Date

August 31, 2026

Requirements

7+ years in Data Engineering, Architecture, or Analytics Consulting, preferably within complex or regulated industries like Aviation
Proficiency in Python, SQL, and dbt for sophisticated ETL/ELT development
Strong experience with modern cloud data warehousing, specifically Snowflake
Experience with AWS services and data orchestration tools
Familiarity with R for statistical transformations is a plus
Strong understanding of data modeling principles and hands-on experience designing Source-to-Target mapping
Proven experience designing and implementing robust data quality frameworks and validation checks
Excellent communication and documentation skills are essential for knowledge transfer and stakeholder collaboration

Job Responsibility

Build end-to-end automated pipeline workflows for complex aviation data ingestion, processing, and transformation
Develop reusable scripts and models for ingestion, orchestration, and transformations using Python, SQL, dbt, and R (where applicable), setting the foundation for scalable data workflows
Create and maintain detailed Source-to-Target (S2T) mapping diagrams, clearly documenting data flow, transformation logic, business rules, and data quality checks to guide ETL/ELT development
Develop a Data Quality Module (monitoring ingestion, transformation, and publication) and a Data Stewardship Module (supporting human-in-the-loop validation/correction) using dbt and Streamlit
Adhere to modern CI/CD practices and ensure thorough documentation and knowledge transfer to internal staff for sustainable operations

Data Modeler

Join us as a Data Modeller at Barclays, where you'll spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications.
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM.
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines.
Collaborates with data engineers to test and validate the data models.
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models.
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing.

Job Responsibility

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
Strategic architecture definition and product selection.
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
Implementation of architectures and Identification, ownership and resolution of design related issues.
Definition and documentation of data architectures standards, principles and strategies.

Fulltime

Data Modeler

GeoLogics is working with a top Aerospace and Defense client looking for a Data ...

Location

United States , Sterling Heights

Salary:

52.00 - 62.00 USD / Hour

GeoLogics

Expiration Date

Until further notice

Requirements

Excellent oral and written communications
Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process
Proven ability to work within teams in which your contributions are critical to success
Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL
Experience using entity-relationship diagrams (ERDs), dimensional modeling, normalization techniques, and metadata repositories to design and document data structures
Understanding of data warehousing concepts
Experience with big data technologies like Hadoop or Spark
Familiarity with cloud-based data services such as AWS or Azure
Background in data governance and data quality concepts
Excellent problem-solving and analytical skills

Job Responsibility

Design and implement conceptual, logical, and physical data models to represent organizational data accurately
Collaborate with business analysts, data architects, developers, and other stakeholders to gather requirements and ensure models meet business and technical needs
Maintain a central data dictionary, enforce data standards, and ensure compliance with data governance policies
Optimize performance of data infrastructure by tuning data models for efficiency, reduce redundancy, optimize reusability at the right levels and improve database performance
Design solutions for integrating data across systems and perform reverse engineering of existing databases when necessary
Develop and maintain documentation, naming conventions, and coding standards to ensure consistency across data systems helping the business to define 'what does good look like?'
Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes
Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs

Fulltime

Data Modeler

We are currently seeking a Data Modeler to join our team in Bangalore, Karnātaka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong hands on experience in data modeling across conceptual, logical, and physical layers, including 3NF and dimensional modeling
Experience modeling complex logic, rules, and supporting metadata in a data driven manner
Strong analytical mindset with the ability to interpret requirements and translate them into implementable data designs
Proven ability to collaborate effectively with engineering and architecture teams
Strong troubleshooting and problem solving skills related to data design and structure
Practical, data driven approach to design decisions and trade offs
Working knowledge of SQL and modern data platforms, including cloud based and NoSQL data stores
Working knowledge of at least one data modeling tool such as PowerDesigner, ERwin, Hackolade, or equivalent
Familiarity with AI assisted development tools, using them to improve productivity and documentation quality where appropriate

Fulltime

Data Modeler

Join us as a Data Modeler. At Barclays, we don’t just adapt to the future, we cr...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong Data Modeling Expertise
Ability to design conceptual, logical, and physical data models using standards like 3NF, Dimensional Modeling, and Data Vault
Database Design & SQL Proficiency
Deep understanding of RDBMS, keys, indexing, normalization, SQL DDL/DML, and query optimization
Modeling Tools Proficiency
Experience with tools such as ERwin, ER/Studio, PowerDesigner, or SQL Developer Data Modeler
Data Architecture & Integration Understanding
Knowledge of ETL/ELT flows, source‑to‑target mappings, lineage, and how models fit into the broader architecture
Business Requirements Analysis
Ability to translate functional requirements into robust, traceable data models and entities

Job Responsibility

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals
Development and maintenance of data dictionaries and glossaries to define data elements and their usage
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator
Strategic architecture definition and product selection
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components
Implementation of architectures and Identification, ownership and resolution of design related issues
Definition and documentation of data architectures standards, principles and strategies

Fulltime

Data Modeler

The Data Modeler role involves designing enterprise-grade data models for a lead...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong experience in data modeling tools such as ERWin, ER/Studio, PowerDesigner, or similar
Expertise in SQL, relational databases (Oracle, SQL Server, PostgreSQL, etc.)
Experience designing models for cloud data platforms such as Azure Synapse, Databricks, Snowflake, or AWS Redshift
Understanding of ETL/ELT pipelines, data integration techniques, and structured/unstructured data
Knowledge of data warehousing methodologies (Kimball, Inmon, Data Vault is a plus)
Familiarity with modeling for API-based systems, event-driven systems, and NoSQL databases is an advantage
Exposure to CIS, Billing, Metering, Asset Management, or Work/Field Management systems
Understanding of asset hierarchies, network topology, geospatial data (GIS), and meter data
Strong problem-solving and analytical thinking
Excellent communication and stakeholder collaboration skills

Job Responsibility

Design conceptual, logical, and physical data models for enterprise data platforms, data warehouses, and data lakes
Develop models aligned with industry standards, utilities data structures, and organizational data strategy
Ensure data models support scalability, performance, and future analytics requirements
Work closely with data architects to define data integration and data flow design across systems
Work with business SMEs to understand domain-specific processes such as: Metering & Billing, Customer Information Systems (CIS), Distribution/Transmission Operations, Asset & Work Management, Outage Management Systems (OMS)
Translate domain-driven requirements into accurate and optimized data models
Collaborate with business analysts, solution architects, ETL engineers, and application teams
Ensure alignment between business requirements and data modeling deliverables
Participate in workshops, requirement clarifications, and design walkthroughs
Define data standards, naming conventions, and modeling best practices

Fulltime

Data Modeler

The Data Modeler role requires expertise in developing and maintaining data mode...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Experience delivering data models for P&C, Specialty insurance projects with exposure to Lloyd’s/London Market and Syndicate data structures is required
Understanding of insurance domain concepts and proficiency with data modelling tools(eg Erwin)
Expertise in enterprise data modelling, including conceptual, logical, and physical models for transactional domains
Experience in data modelling using Dimensional Star/Snowflake, Data Vault, and 3NF methodologies
Knowledge of data warehousing and ETL/ELT pipelines
Experience with Azure Data Factory and Databricks, designing data pipelines can be advantageous
Understanding and knowledge of system development life cycle methodologies (such as agile software development)
Excellent collaboration and communications skills to deal with senior leaders, stakeholders and technical teams is required
Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative idea
A minimum of 5 years of experience is required

Job Responsibility

Develop and maintain data models-Logical and Physical, to support business needs ensuring data integrity for Insurance domains
Design models aligned to Databricks medallion architecture by translating the requirements of underwriting, delegated authority, reinsurance, actuarial, claims and finance
Implement and maintain modelling standards, naming conventions, metadata and documentation working closely with data analyst, data engineers, and associates in data office
Review existing models and propose simplification, standardisation and target state improvements across projects and for wider requirements
Lead the evolution of requirements, refine and translate the specifications into data models to enable development phase
Ensure the models accurately reflect Insurance processes and data elements before handing it over to engineering

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