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Model Jobs in Calgary, AB (NOW HIRING)

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

Model observability & lineage. Implement monitoring, lineage, and auditability so we can trace what data influenced an analytic or AI output and detect data quality regressions. * Governance & cross ...

Permanent Work Model: Hybrid Reference code: 133499 Primary Location: Calgary, AB All Available Locations: Calgary, AB; Edmonton, AB; Vancouver, BC; Victoria, BC Our Purpose At Deloitte, our Purpose ...

You will build the models, pipelines, and inference services that make spatial intelligence operational: not research artifacts sitting in notebooks, but production systems answering real questions ...

You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges. Our philosophy is centered on human-augmentation.

Build custom machine learning models and natural language processing systems using state-of-the-art techniques. * Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to ...

Design, build, calibrate, and document forward price curve models across commodities and delivery points, including directly observable, interpolated, and proxy / spread-to-benchmark approaches. Own ...

... and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports directly to the CEO and operates as the strategic liaison to global payment processors and vendors. Key ...

... and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports directly to the CEO and operates as the strategic liaison to global payment processors and vendors. Key ...

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Model information

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

What are models?

Models are professionals who display clothing, accessories, or products in advertisements, fashion shows, catalogs, or other media. Their primary role is to visually represent products or concepts, helping brands and designers communicate their style and message to the public. Models may work in various fields, such as fashion, commercial, editorial, or runway modeling, and often collaborate with photographers, designers, and marketers. The industry values diversity, and models come in many different looks and specialties. Success as a model requires dedication, professionalism, and the ability to adapt to different creative visions.

What job makes $10,000 a month without a degree?

Modeling can be a high-paying job that earns $10,000 or more per month, especially for successful fashion, commercial, or fitness models. Success depends on factors like experience, reputation, niche, and the ability to secure high-paying contracts or campaigns, often without requiring a college degree.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

How do you get hired as a model?

To get hired as a model, individuals typically build a professional portfolio showcasing their appearance and versatility, then submit it to modeling agencies or apply directly to casting calls. Having good communication skills, understanding industry standards, and maintaining a healthy appearance are also important for securing modeling jobs.

Is 30 too old to start modeling?

Modeling is a flexible industry with opportunities for individuals of various ages, including those starting in their 30s. Success often depends on factors like look, confidence, and portfolio quality, rather than age alone, and niche markets such as commercial or plus-size modeling may have more age diversity.

What Does a Model Do?

Models are an essential piece of the fashion and retail industry. These individuals help promote and market clothing, accessories, and beauty products via various industry platforms such as catalogs, online stores, fashion shows, and commercials. Not all Models are in front of the camera; some work as Fit Models, meaning they work behind the scenes with garment producers to ensure the clothing fits appropriately. Some Models specialize in a specific part of their body, such as Hand Models. Models try on different clothing items and expertly pose to showcase the garment’s features. In live situations like a fashion show, Models quickly change outfits backstage to keep the show running smoothly.

What are the key skills and qualifications needed to thrive as a Model, and why are they important?

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.
What are the most commonly searched types of Model jobs in Calgary, AB? The most popular types of Model jobs in Calgary, AB are:
What are popular job titles related to Model jobs in Calgary, AB? For Model jobs in Calgary, AB, the most frequently searched job titles are:
What cities near Calgary, AB are hiring for Model jobs? Cities near Calgary, AB with the most Model job openings:
Infographic showing various Model job openings in Calgary, AB as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Data Architect

Clio

Calgary, AB • Hybrid

CA$128K - CA$147K/yr

Full-time

Medical, Dental, Vision

Posted 27 days ago


Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:Role Overview

Clio is hiring a Data Architect to design, build, and govern the data foundations that power company reporting, analytics, and our AI-first initiatives. You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents to trust a single source of truth. This is a hands-on senior engineering role that blends deep SQL and modeling expertise with product sense, cross-functional collaboration, and ownership for standards and observability.

Key Responsibilities
  • Design & deliver modular, production-grade data models: Translate raw data into well-tested, performant datasets and reusable building blocks for downstream consumers (analytics, dashboards, ML).

  • Build and govern the semantic layer: Define and maintain standardized business metrics and semantic objects so teams and AI systems share a single source of truth.

  • AI data strategy & unstructured data tooling: Design data lifecycles for AI use cases-ingestion, embedding, RAG, and model-centric data plumbing-and convert unstructured signals (transcripts, documents, emails) into AI-ready assets.

  • Model observability & lineage. Implement monitoring, lineage, and auditability so we can trace what data influenced an analytic or AI output and detect data quality regressions.

  • Governance & cross-team enablement. Partner with Data Engineering, RevOps, Product, and other stakeholders to set modeling standards, manage dbt access and ownership boundaries, and enable "self-service" analytics across the company.

  • Engineering best practices. Apply software engineering principles to the data stack: dbt or similar transformation frameworks, Git, CI/CD, environments (dev/stage/prod), testing, and code review.

  • Mentorship & standards. Help grow the team by setting modeling standards, reviewing peer work, and mentoring junior modelers/analysts.

What we're looking for - must-have
  • 5+ years experience in data architecture, data modeling, analytics engineering, or a related role building production data models and semantic layers.

  • SQL expert. Able to write efficient, maintainable SQL for complex transformations and to optimize performance in a cloud warehouse.

  • Hands-on experience with dbt (or equivalent) and Git/CICD for data transformations and model deployment.

  • Proven track record designing metrics/semantic layers and ensuring a "single source of truth" for business definitions.

  • Experience with observability & lineage tooling, or designing data quality and audit processes for analytic/ML outputs.

  • Strong cross-functional communication skills; comfortable translating ambiguous business questions into reliable data artifacts and enabling non-technical consumers.

Nice-to-have
  • Experience working with AI/LLM workflows (RAG, embeddings, fine-tuning) or converting unstructured data into embeddings and retrieval assets.

  • Familiarity with cloud warehouses (Snowflake, BigQuery, Databricks) and reverse-ETL patterns.

  • Experience owning or contributing to data governance frameworks and enabling broad dbt access across functional teams.


This is a new role.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $109,100 to $128,400 to $147,700 CAD. There are a separate set of salary bands for other regions based on local currency.


*Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.