Data Modeler

2 weeks ago

Saskatchewan, Canada Saskatchewan Government Insurance Full time

Do you value integrity and innovation? How about passion and caring? Great Us too, and that's why you'll fit right in. Our intentional culture promotes trust and participation, encouraging you to bring your heart and mind to work every day.
- In-Scope / Full Time
- Permanent Opportunity
- Work Location: Saskatchewan and Manitoba
- Remote work opportunities in Saskatchewan and Manitoba only.
- GENERAL ACCOUNTABILITY
- The Data Modeler is a specialized technical position assisting the Director, Data Architect with the continually changing and highly complex Data Architecture required to support business reporting and advanced analytics. As a highly experienced data practitioner, the Data Modeler translates and represents business information requirements into a data structure that is easily comprehended by business end-users, supporting growth in our reporting and analytics. Assists in comprehensive data design and mapping to realize an integrated view of our data, resulting in a single version of truth representation. Works with other members of the Data Office team, as well as IT Developers, on all aspects of data and analytics solutioning. Ensures that a consistent and harmonized approach to solution development is achieved across disparate projects.
- KEY ACCOUNTABILITIES
- Note: This section is not intended to be an exhaustive list of duties and responsibilities - other duties and responsibilities may be assigned._
- Data Model Planning & Strategy Support- Assists in all Data Model activities on behalf of SGI and the Data Office with a focus on developing, maintaining, and publishing Data Model to support business reporting and advanced analytics.-
- Ensures that solutions are modeled to meet the business outcomes while strategically aligning to the Data Office and enterprise systems vision and strategies.-
- Maintains knowledge of emerging Data Modeling techniques and trends and utilizes this knowledge to educate both the Data Office, Systems, and the business on opportunities to build better solutions that support and drive business decisions.-
- Participates in the definition of the Data Model and technology needs of the organization based on new and emerging technologies.Contributes technical data practitioner knowledge during Request for Proposal (RFP) processes:- Participates in the development of complex RFPs for the procurement of products and services.-
- Creates and updates the technical RFP requirements.-
- Participates as a member of the decision-making team in the evaluation of RFP responses and recommendations.- Data Model Delivery & Support- Jointly presents the solution to the business, providing technical expertise and explaining the trade-offs with various data design alternatives.-
- Identifies the key technology interactions and dependencies across data systems/platforms impacting the organization’s ability to achieve integration, compatibility, and performance targets.-
- Conducts research and analysis and provides recommendations for the design and delivery of the Data Models required for the delivery of IT-based solutions, services, and support.-
- Designs solutions for high availability, connectivity, and disaster recovery, as required.-
- Provides technical advice and support to Data Office, Systems, and management relating to Data Models and schemas.-
- Ensures Data Model designs follow established security policies.-
- Ensures technical designs comply with architecture guiding principles.-
- Writes professional/technical proposals, reports, and manuals.-
- Collaborates with other Data Office and Systems teams on enterprise-wide IT strategies and technologies, as required.- Data Solution Design & Development- Partners with members of the Data Office team, specifically the Director, Data Platform Solution Architect and the Data Engineers, modeling in our Azure data platform for operational and analytical data, structured and unstructured data, data in motion, and data at reset.-
- Partners with members of the Data Office team and IT stakeholders to assist in defining data processing requirements and dependencies across the data platform for data ingestion, data standardization, data integration, and data consumption.-
- Assists in designing, developing, publishing, and maintaining the Azure data platform semantic layer and maps its data lineage back through the various data propagation zones of the data platform and subsequently back to the physical operational source systems where the source data is captured/originates.-
- Assists in designing, developing, publishing, and maintaining the data platform standard for data integration (aka. single version of truth), naming conventions, use of reference data, data profiling process support, and metadata.-
- Defines and translates business and systems requirements into a relevant data structure by collaborating with business stakeholders, members of the Data Office team, and IT on how given requirements will best be realized.-
- Pa

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