Azure Data Modeler

Overview

This role is hybrid and requires you to be at our Client office at a minimum 5 days a month- subject to change at any time. Responsibilities

Analyze current and related source systems, existing schemas and ETL to understand entities, relationships, and business rules Design and deliver conceptual, logical, and physical data models to support migration to the target Azure data platform Produce and maintain key modelling artefacts: Conceptual, logical, physical models Entity-relationship diagrams (ERDs) Data dictionary, metadata catalog, and data lineage views Modelling standards, naming conventions, and guidelines Define source-to-target mappings from legacy structures to cloud-based data lakehouse / warehouse models Collaborate with data engineers on model implementation (tables, views, Delta models, partitioning, performance design) Work with business SMEs to validate data definitions, hierarchies, KPIs and transformation rules for data domains Support QA and reconciliation by defining validation rules between legacy and new platform Contribute to data governance for data: lineage, impact analysis, and controlled evolution of models over time Qualifications

Strong experience in data modelling (conceptual, logical, physical) for DW/analytics platforms Proven ability to translate business concepts → logical models → physical data structures in DBs, DWHs, and data lakehouses Hands-on experience with ERDs, data dictionaries/metadata catalogs, data lineage and modelling standards Solid understanding of data warehousing and data engineering concepts, including:

Data warehouse design Star schema / Snowflake schema DataMesh architecture (data products) Data Pattern 5.0

Strong SQL skills and experience analyzing complex source systems (OCR, upstream apps, legacy warehouses) Experience in migration/modernization projects (on-prem to cloud, OCR/data platform re-platforming) Familiarity with Azure data stack: Azure Data Lake, Azure Databricks / Spark, Azure Data Factory (concepts of pipelines & orchestration) Understanding of data quality, governance, metadata and lineage practices Good communication skills and ability to work closely with business SMEs, architects, and engineering teams Training/Certifications (nice to have): CGI internal data engineering trainings, Azure Cloud Fundamentals, Azure Data Fundamentals, plus hands-on project experience Skills

Cloud Computing Embedded Software Development ETL Financial Services Snowflake Software Architecture SQLite Statistical Analysis What you can expect from us

Together, as owners, let’s turn meaningful insights into action. You’ll be part of Life at CGI, rooted in ownership, teamwork, respect and belonging. You’ll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. We call ourselves CGI Partners rather than employees and benefit from our collective success while shaping our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.

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