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Trainee Azure Data Factory Developer Jobs in Calgary, AB

Data Engineer We are seeking an experienced and skilled Data Engineer to join our innovative and ... Design, develop, and optimize scalable data pipelines, using Azure Data Factory, with on-prem ...

... Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Hands-on experience with Azure data platforms (e.g., Azure Data Factory, Synapse, Databricks, or similar) DevOps & Delivery * Familiarity with DevOps practices for Power BI (version control, CI/CD ...

... Azure Data Factory, Azure Data Lake, or similar services Knowledge of CI/CD pipelines and DevOps practices Exposure to streaming technologies (Kafka, Spark Streaming, etc.) Experience with version ...

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ ... Data factory, Synapse, Azure SQL, AI\ML, advance analytics, and Kubernetes service * Knowledge of ...

Developer

Calgary, AB · On-site +1

Developer Olsen specializes in the implementation and optimization of enterprise resource ... NET, Python, Django, Azure Functions, and SQL. - Design and optimize data pipelines, APIs, and ...

Build, manage, and maintain Azure infrastructure using Infrastructure-as-Code (Bicep, Terraform ... Partner with Development, QA, and Data teams to support reliable, automated deployments across ...

Integrate front-end with back-end APIs, services, and data stores * Leverage Azure services or any Cloud * Implement CI/CD pipelines, deployments, and monitoring using Azure DevOps / GitHub Actions ...

Experience working within cloud environments (GCP, AWS, or Azure) . * Experience with database ... Science, Engineering, or related discipline. * Experience working with enterprise-scale data ...

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Trainee Azure Data Factory Developer information

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Senior Data Architect - Data Modelling

Data Elephant Inc

Calgary, AB • On-site

Full-time

Posted 24 days ago


Job description

Data Elephant is seeking a Senior Data Architect with strong Data Modeling experience to support a client in designing and delivering scalable, high-quality data models within a modern cloud data platform. This role is critical in enabling trusted, performant, and business-aligned data for analytics, reporting, and advanced use cases.

You will work within an environment leveraging Azure, Databricks, and Power BI, collaborating with data engineers, analytics teams, and business stakeholders to define and implement best-in-class data modeling practices.


Key Responsibilities


Data Modeling & Architecture

  • Design and implement conceptual, logical, and physical data models aligned to business requirements
  • Develop dimensional models (star/snowflake schemas) for analytics and reporting use cases
  • Define and manage data structures within Databricks (Delta Lake)
  • Ensure models support scalability, performance, and reusability


Collaboration & Stakeholder Engagement

  • Partner with business stakeholders to translate requirements into robust data models
  • Work closely with data engineers to align modeling with ingestion and transformation pipelines
  • Support Power BI developers in optimizing semantic models and reporting performance


Governance & Standards

  • Establish and enforce data modeling standards, naming conventions, and best practices
  • Contribute to data governance frameworks, including lineage, metadata, and documentation
  • Ensure data models align with enterprise data architecture and security policies


Performance Optimization

  • Optimize data models for query performance and cost efficiency within Azure and Databricks
  • Support tuning of Power BI semantic models (e.g., aggregations, relationships, measures)


Documentation & Knowledge Sharing

  • Produce clear documentation for data models, definitions, and transformations
  • Mentor team members and promote data modeling best practices


Required Experience & Skills


Core Expertise

  • 7+ years of experience in data modeling and data architecture
  • Strong expertise in tools like Erwin, Hackolade, Data Vault
  • Dimensional modeling experience
  • Proven experience working in modern cloud data platforms like Azure, Databricks


Technology Stack

  • Azure Data Platform (e.g., ADLS, Azure Data Factory, Synapse - familiarity expected)
  • Databricks (Delta Lake, medallion architecture, Spark concepts)
  • Power BI (semantic modeling, DAX, dataset design)
  • Strong SQL skills and understanding of distributed data processing


Additional Capabilities

  • Experience designing models for large-scale, complex datasets
  • Strong understanding of data governance, lineage, and metadata management
  • Ability to balance business usability with technical optimization