Data Modeler

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $90.9k - $114.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SGI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1945

🚘 Automotive

📦 Logistics

🛡️ Insurance

Automotive • Logistics • Insurance

SGI is a government entity that manages driver's licensing and vehicle registration services in Saskatchewan, Canada. It oversees various aspects related to road safety, vehicle ownership, and driver competence within the province, providing essential services and information to the public.

📋 Description

• Assist with SGI and Data Office data model activities, including developing, maintaining, and publishing data models for business reporting and advanced analytics • Align data solutions with business outcomes, Data Office strategies, and enterprise systems vision • Maintain knowledge of emerging data modeling techniques and educate Data Office, Systems, and business stakeholders • Collaborate with business and technology subject-matter experts to develop representative data models • Contribute technical data practitioner expertise to complex RFP development, requirements, evaluation, and recommendations • Present solutions to the business, explain trade-offs, and provide technical expertise • Identify technology interactions and dependencies across data systems and platforms • Research, analyze, and recommend data model designs and delivery approaches • Design solutions for high availability, connectivity, and disaster recovery • Provide technical advice and support regarding data models and schemas • Ensure data model designs follow security policies and architecture principles • Write technical proposals, reports, and manuals • Model operational and analytical data on SGI’s Azure data platform • Define data processing requirements and dependencies for ingestion, standardization, integration, and consumption • Design, develop, publish, and maintain the Azure data platform semantic layer and data lineage • Maintain standards for data integration, naming conventions, reference data, profiling support, and metadata • Translate business and systems requirements into relevant data structures • Instantiate physical data models and optimize data performance • Review and participate in testing and acceptance of data model designs, mappings, infrastructure, and data pipelines • Build and deliver data education and training for the Data & Analytics program • Identify and resolve data issues affecting service-level agreement commitments • Enable data governance, data quality, and metadata in alignment with SGI policies and standards • Support leadership, continuous learning, knowledge sharing, mentoring, training, and organizational transformation

🎯 Requirements

• Four-year degree from an accredited post-secondary education institution in a relevant field such as Computer Science, Mathematics & Applied Science, Engineering, or Information Technology, or defined equivalency • Five to seven years of experience in a Data Modeler role or equivalent technology role • Advanced knowledge of database structures, theories, principles, and practices • Advanced knowledge of data modeling techniques, including data gathering, inspection, cleansing, and transformation • Advanced skill using data modeling tools and approaches, including physical implementation issues, data strategies, design implications, and performance requirements • Proficient knowledge of solution design, database design and management, application integration, agile implementation, and machine learning methods • Proficient knowledge of data storage and warehousing solutions such as Azure Data Lake, Cosmos DB, and Synapse Analytics • Proficient knowledge of Azure cloud data platform, Azure Stream, Azure Data Lake, Blob Storage, Synapse, Databricks, Azure Data Factory, and cloud best practices • Fundamental knowledge of Azure D&A frameworks • Fundamental knowledge of strategic D&A implementation migrations • Fundamental knowledge of Property and Casualty industry products and services • Leader Level 3 behavioural competencies

🏖️ Benefits

• Permanent, full-time employment • Remote work will be considered for candidates residing outside of Regina • Accommodation during the recruitment process, with confidential handling of information • Commitment to reconciliation, diverse talent, growth, belonging, and a respectful workplace • Career with purpose, growth, and belonging