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Azure Data Bricks Engineer Jobs in Calgary, AB (NOW HIRING)

360training

Data Engineer (Canada)

Calgary, AB · Remote

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 ...

United Airlines

Senior Data Engineer

Calgary, AB

CA$76K - CA$176K/yr

... 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 control tools (Git ...

KPMG

Data Support Senior Consultant

Calgary, AB

... Azure Data Lake Storage, Power BI and other Azure technologies * Communicate the technical ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Data Elephant Inc

Senior Power BI Lead

Calgary, AB

Experience bridging BI and data engineering, including translating reporting needs into backend data changes * Hands-on experience with Azure data platforms (e.g., Azure Data Factory, Synapse ...

ShyftLabs

Data Engineer

Calgary, AB

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

Syndio

Staff Data Engineer

Calgary, AB

GCP (preferred), AWS, or Azure * Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar ... As such, we empower engineers to make bold moves and back it up with a culture that supports ...

Syndio

Staff Data Engineer

Calgary, AB · Remote

CA$180/hr

GCP (preferred), AWS, or Azure * Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar ... As such, we empower engineers to make bold moves and back it up with a culture that supports ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven ... Experience with Azure or AWS * Bachelor's degree in Computer Engineering, Computer Science, or a ...

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All JobsAzure Data Bricks Engineer JobsAzure Data Bricks Engineer Jobs in Calgary, AB

Azure Data Bricks Engineer information

How does an Azure Data Bricks Engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks Engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

Is Databricks Data Engineer in demand?

Azure Data Bricks Engineers are in high demand due to the increasing adoption of cloud-based data analytics and the need for scalable data processing solutions. Skills in Spark, Python, and cloud platforms like Azure are highly valued, and job growth in this field is expected to continue as organizations prioritize data-driven decision-making.

Is Azure Databricks in demand?

Azure Data Bricks engineers are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, Python, and cloud integration increase employability, and many organizations seek professionals with experience in Azure cloud services and data engineering. The role offers strong job growth prospects as data-driven decision-making becomes a priority across industries.

What is an Azure Databricks Engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

How much do Databricks engineers make?

Azure Data Bricks engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in Spark, Python, or cloud architecture can command higher salaries. Compensation often includes benefits such as bonuses and stock options in larger organizations.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and cloud engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like Principal Data Engineers or Cloud Architects working with platforms like Azure Data Bricks often reach this compensation level, particularly in large organizations or with performance bonuses and stock options.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

What are popular job titles related to Azure Data Bricks Engineer jobs in Calgary, AB? For Azure Data Bricks Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Azure Data Bricks Engineer jobs in Calgary, AB look for? The top searched job categories for Azure Data Bricks Engineer jobs in Calgary, AB are:
Azure Data Bricks Engineer jobs near you

Senior Data Architect - Data Modelling

Data Elephant Inc

Calgary, AB • On-site

Full-time

Posted 25 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

Apply