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Data Modelling Jobs in Halifax, NS (NOW HIRING)

Weir

Modelling & Simulation Engineer

Dartmouth, NS

Conduct Modelling and Simulation (M&S), Independent Verification & Validation (IV&V) and ... Following Configuration and Data Management practices. * Independent Verification & Validation (IV ...

KPMG

Manager, Government Solutions

Halifax, NS

Experience with financial analysis, data modelling, securing expense efficiencies and/or process mapping / re-engineering. * Demonstrated interest in working with and building relationships within ...

Bmt Inc

Senior Coastal Consultant

Dartmouth, NS · On-site

CA$85K - CA$105K/yr

Proven expertise in numerical modelling, including data analysis and interpretation for complex environmental systems. * Proven leadership experience within a consultancy or project-based environment ...

GHD

Stormwater engineering

Bedford, NS · Hybrid

Strong technical report writing, data analysis, and communication skills; * Strong technical knowledge of hydraulic modelling software such as EPPA-SWMM, PCSWMM, HEC-HMS, and HEC-RAS; * Strong ...

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All JobsData Modelling JobsData Modelling Jobs in Halifax, NS

Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

Data Modelling jobs near you
Infographic showing various Data Modelling job openings in Halifax, NS as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Solution Architect -6 month contract

CorGTA

Halifax, NS • Remote

CA$110/hr

Contractor

Posted 15 days ago

Job description

Role:Data Solution Architect (Oracle / Azure Data)
Duration:6 month contract
Pay Rate:up to $110.00 CAD per hour
Location:Halifax, NS (Remote based)
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We have a great new opportunity to support one of our Consulting Services clients in a contract capacity!

Please see below for more information on the position and if interested apply with an updated resume aligned to the needs of the role.

Key Responsibilities
Data Architecture & Strategy
  • Design end-to-end data architecture for:
    • Data synchronization
    • Bulk data loads
    • Legacy system (RMV3) decommissioning
  • Define scalable and reliable data flow patterns across systems
Data Migration & Integration
  • Lead data migration strategies from Oracle-based legacy systems to Azure environments
  • Design and implement integration patterns between multiple systems and platforms
  • Ensure seamless data availability for downstream applications and services
Azure Data Platform Oversight
  • Provide architectural oversight and guidance on:
    • Azure Data Factory (ADF) pipelines
    • Data Lake architecture
    • Azure SQL environments
    • Messaging/integration via Service Bus
  • Establish best practices for orchestration and pipeline design
Data Quality, Validation & Governance
  • Define and enforce data quality frameworks and validation processes
  • Implement governance standards across data pipelines and integrations
  • Ensure accuracy, consistency, and reliability of data across environments
Delivery & Collaboration
  • Work closely with Agile delivery teams, engineers, and stakeholders
  • Provide hands-on support where needed across implementation
  • Contribute to architecture decisions in a fast-paced, multi-system environment
Required Skills & ExperienceCore Technical Expertise
  • Strong experience indata architecture and data modelling
  • Deep experience withOracle (legacy systems)
  • Hands-on experience withAzure Data Stack, including:
    • Azure Data Factory (ADF)
    • Azure Data Lake
    • Azure SQL
    • Azure Service Bus
Data Engineering & Integration
  • Expertise inETL/ELT frameworks and tools
  • Experience designingnear real-time and event-driven data pipelines
  • Strong understanding ofdata synchronization and bulk data processing
Transformation Experience
  • Proven track record delivering in:
    • Large-scale data transformation programs
    • Multi-system integration environments
    • Legacy system modernization initiatives
Working Style
  • Comfortable operating inAgile environments
  • Able to balancearchitecture leadership with hands-on execution
  • Strong communication and stakeholder alignment skills
Nice-to-Have
  • Public sector or government project experience
  • Experience with legacy system decommissioning strategies
  • Exposure to high-volume transactional data environments

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service:www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/