Ir para o conteúdo

Business Data Modeler (PL768)

  • Hybrid
    • Toronto , Ontario, Canada

Job description

We are seeking an experienced Business Data Modeler to support our consulting-sector client in designing, structuring, and optimizing enterprise data models across Finance, Marketing, and HR domains.
The ideal candidate brings strong domain expertise, excellent requirement-gathering and logical design capabilities, and hands-on experience working within modern data ecosystems—particularly Azure Databricks, Delta Lake, and Azure Data Lake.

This role requires a blend of business understanding and technical proficiency to translate complex business processes into scalable, accurate, and well-documented data models.

Key Responsibilities

Domain & Business Understanding

  • Partner with business stakeholders across Finance, Marketing, and HR to understand processes, data flows, and reporting requirements.

  • Translate business concepts into conceptual, logical, and physical data models.

  • Ensure alignment between business requirements, technical solutions, and data governance standards.

Data Modeling & Design

  • Develop and maintain conceptual, logical, and physical data models (ERDs, data flow diagrams, canonical models).

  • Apply best practices including normalization/denormalization, star/snowflake schemas, and optimized design for analytics/reporting.

  • Support the consolidation of complex source systems (e.g., SAP, Salesforce, PeopleSoft) into integrated enterprise models.

  • Document data models, definitions, relationships, and lineage for both technical and non-technical stakeholders.

Requirement Gathering & Documentation

  • Lead structured requirement-gathering sessions with SMEs and technical teams.

  • Produce functional and technical documentation including BRDs, FRDs, Logical Design Documents, and metadata definitions.

  • Communicate models and requirements clearly to engineering, analytics, and business teams.

Data Analysis & SQL Development

  • Write and optimize complex SQL queries to support data profiling, transformation logic, and validation.

  • Conduct data quality assessments and ensure compliance with governance, audit, and regulatory requirements.

Technical Ecosystem & Integration

  • Work with modern data platforms including:

    • Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake

    • SAP Finance/S4 (optional)

    • Salesforce CRM (optional)

    • PeopleSoft HR (optional)

  • Participate in data integration, metadata management, reference data harmonization, and enterprise information management initiatives.

Job requirements

  • 7+ years of experience in data modeling, data analysis, or business data architecture.

  • Strong domain knowledge in at least one of the following:

    • Finance (GL, WIP, Time & Expense, AR, vendor accounting; SAP Finance preferred)

    • Marketing Analytics (client analytics, campaigns, sales pipeline; Salesforce familiarity preferred)

    • HR/People Management (staffing, utilization, workforce planning; PeopleSoft familiarity preferred)

  • Proven experience creating conceptual/logical/physical data models.

  • Proficiency in SQL for data exploration and validation.

  • Experience with Databricks or similar cloud data platforms.

  • Strong understanding of data quality, data lineage, metadata, and compliance.

Nice-to-Have

  • Experience with Azure cloud services.

  • Familiarity with enterprise reporting systems, CDS views, or BW/4HANA.

  • Exposure to enterprise data warehouse modeling and integration patterns.

  • Strong documentation skills and ability to communicate complex concepts to diverse audiences.

Location: Fully Remote
Duration: 6 Months (Strong Possibility of Extension)

or