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Snowflake Jobs in Alberta (NOW HIRING)

Support Snowflake operations including databases, schemas, warehouses, roles, access patterns, query troubleshooting, performance tuning, cost awareness, secure data sharing, and operational ...

Support Snowflake operations including databases, schemas, warehouses, roles, access patterns, query troubleshooting, performance tuning, cost awareness, secure data sharing, and operational ...

Experience with Snowflake or Postgres SQL * Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments * Experience with Azure or AWS * Bachelor's degree in Computer ...

Experience with Snowflake or Postgres SQL * Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments * Experience with Azure or AWS * Bachelor's degree in Computer ...

Proficiency with cloud-based tools such as databricks and snowflake. * Proven track record of consistent value creation. Working Conditions: * In-office position with limited travel required

Experience with Snowflake * Experience with behavioral modeling, simulation, or agent-based systems * Background in NLP, computational social science, or user modeling * Contributions to open-source ...

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake/Databricks). * Modern AI Toolkit: Hands-on experience with LLM orchestration (LangChain, Haystack), vector ...

Solution Architect, Data

Calgary, AB · On-site

$120 - $170/hr

Hands-on experience with Big Data Platforms (e.g., Snowflake, Databricks, Hadoop) * Experience with reporting, self-service analytics, data warehousing or data marts * Understanding of orchestration ...

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Snowflake information

See Alberta salary details

$15

$69

$100

How much do snowflake jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for snowflake in Alberta is $69.28, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $78.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are popular job titles related to Snowflake jobs in Alberta? For Snowflake jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Alberta look for? The top searched job categories for Snowflake jobs in Alberta are:
Infographic showing various Snowflake job openings in Alberta as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 61% In-person, 28% Hybrid, and 11% Remote job distribution, with an average salary of $144,104 per year, or $69.3 per hour.

Sr Business Intelligence Consultant

Dura Digital

Edmonton, AB • On-site

Contractor

Posted 24 days ago


Job description

Dura Digital is looking for a Business Intelligence consultant who knows that great analytics starts with strong data models. You care deeply about semantic consistency, performance, and usability; and you're passionate about helping organizations deliver effective BI platforms.


As a Senior Business Intelligence Developer and consultant, you'll play a key role in working with our clients designing and maintaining Power BI data models , supporting the migration of Power BI reports from SQL Server to Snowflake. You'll work closely with data engineers, analytics partners, and project stakeholders to ensure trusted, scalable, and high-performing analytics solutions.

WHAT MOVES YOU

  • You enjoy translating complex project requirements into intuitive, performant BI solutions.
  • You're analytical, curious, and thoughtful about how data models impact downstream reporting and decision-making.
  • You're a strong communicator who can explain technical concepts to non-technical audiences.
  • You take pride in clean, well-documented models and reports that others can easily understand and reuse.
  • You enjoy mentoring others and raising the overall maturity of BI practices.
  • You stay calm and focused when navigating ambiguity, change, or platform migrations.


WHAT YOU'LL DO

  • Design, develop, and maintain Power BI data models using best practices for performance, scalability, and usability.
  • Lead and support the migration of Power BI reports and data models from SQL Server to Snowflake.
  • Partner with data engineering teams to align Power BI models with Snowflake data structures and transformation logic.
  • Work with project stakeholders to understand requirements and translate them into clear, actionable reporting solutions.
  • Optimize DAX measures, calculated columns, and model relationships for performance and clarity.
  • Ensure consistency in metrics, dimensions, and definitions across reports and subject areas.
  • Identify opportunities to simplify, standardize, and reduce technical debt in existing Power BI content.
  • Support data validation and reconciliation efforts during platform migrations.
  • Promote BI best practices including version control, documentation, and deployment workflows.
  • Assist in establishing standards for Power BI development, governance, and lifecycle management.
  • Provide production support for critical BI assets, ensuring reliability and trust in reporting.


WHAT YOU'VE DONE

  • You have a university degree in Computer Science, Information Systems, or a related field. or equivalent experience.
  • You bring 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Analytics roles.
  • You have deep hands-on experience with Power BI, including:
    • Data modeling
    • DAX
    • Performance optimization
    • Data design for self-service analytics
  • You have strong SQL skills and experience working with SQL Server.
  • You have experience supporting or leading BI migrations (on-prem to cloud and/or platform-to-platform).
  • You've worked with cloud data warehouses, with Snowflake experience strongly preferred.
  • You understand dimensional modeling concepts (e.g., Kimball) and how they apply to BI semantic layers.
  • You're comfortable collaborating with data engineers and analysts.
  • You have experience working in Agile or iterative delivery environments


SKILLS

  • Business Intelligence & Analytics
    • Power BI (data models, reports, dashboards)
    • DAX optimization and modeling best practices
    • Semantic layer design
  • Data Platforms
    • SQL Server
    • Snowflake / cloud data warehouses
  • Data Modeling
    • Dimensional modeling (Kimball)
    • Metrics standardization
  • Languages & Tools
    • SQL
    • DAX
    • Version control (Git)
  • Practices
    • BI governance and lifecycle management
    • Data quality validation
    • Performance tuning
    • Documentation and knowledge sharing

Location: Edmonton, Alberta